際際滷shows by User: MapWindow / http://www.slideshare.net/images/logo.gif 際際滷shows by User: MapWindow / Thu, 19 Jun 2014 08:43:38 GMT 際際滷Share feed for 際際滷shows by User: MapWindow Python in geoinformatics /slideshow/python-36065446/36065446 bswhtr8tqk6tddzjz3ld-140619084338-phpapp02
Open source technology have became popular in the last years. More and more proprietary software are ready to work with open source applications, what is more they directly support them. A similar situation got me started to use Python, and I really was pleased that this language can be used for many purposes in geoinformatics. Presented by Marianna Zichar, assistant professor, University of Debrecen,]]>

Open source technology have became popular in the last years. More and more proprietary software are ready to work with open source applications, what is more they directly support them. A similar situation got me started to use Python, and I really was pleased that this language can be used for many purposes in geoinformatics. Presented by Marianna Zichar, assistant professor, University of Debrecen,]]>
Thu, 19 Jun 2014 08:43:38 GMT /slideshow/python-36065446/36065446 MapWindow@slideshare.net(MapWindow) Python in geoinformatics MapWindow Open source technology have became popular in the last years. More and more proprietary software are ready to work with open source applications, what is more they directly support them. A similar situation got me started to use Python, and I really was pleased that this language can be used for many purposes in geoinformatics. Presented by Marianna Zichar, assistant professor, University of Debrecen, <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bswhtr8tqk6tddzjz3ld-140619084338-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Open source technology have became popular in the last years. More and more proprietary software are ready to work with open source applications, what is more they directly support them. A similar situation got me started to use Python, and I really was pleased that this language can be used for many purposes in geoinformatics. Presented by Marianna Zichar, assistant professor, University of Debrecen,
Python in geoinformatics from MapWindow GIS
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Decision Support in Uncertain Real Estate Transactions /slideshow/szabo-wirth/36065445 r9bignvrw6h7eozyhshc-140619084338-phpapp02
In this presentation we demonstrate the judgment of everyday users under uncertain conditions in the field of real estate transactions. We are going to lead the reader during the World of open source environment in a practical example. The used components will be PostgreSQL, Octave, OSM data, QGIS, Google Maps API, Apache and different web languages. The main goal is decision support in real estate business. Its based on fuzzy logic, which is a widely used many-valued logic mathematical method nowadays. Presented by Gy旦rgy Szab坦, associate professor, University of Technology and Economics, Department of Photogrammetry and Geoinformatics]]>

In this presentation we demonstrate the judgment of everyday users under uncertain conditions in the field of real estate transactions. We are going to lead the reader during the World of open source environment in a practical example. The used components will be PostgreSQL, Octave, OSM data, QGIS, Google Maps API, Apache and different web languages. The main goal is decision support in real estate business. Its based on fuzzy logic, which is a widely used many-valued logic mathematical method nowadays. Presented by Gy旦rgy Szab坦, associate professor, University of Technology and Economics, Department of Photogrammetry and Geoinformatics]]>
Thu, 19 Jun 2014 08:43:38 GMT /slideshow/szabo-wirth/36065445 MapWindow@slideshare.net(MapWindow) Decision Support in Uncertain Real Estate Transactions MapWindow In this presentation we demonstrate the judgment of everyday users under uncertain conditions in the field of real estate transactions. We are going to lead the reader during the World of open source environment in a practical example. The used components will be PostgreSQL, Octave, OSM data, QGIS, Google Maps API, Apache and different web languages. The main goal is decision support in real estate business. Its based on fuzzy logic, which is a widely used many-valued logic mathematical method nowadays. Presented by Gy旦rgy Szab坦, associate professor, University of Technology and Economics, Department of Photogrammetry and Geoinformatics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/r9bignvrw6h7eozyhshc-140619084338-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this presentation we demonstrate the judgment of everyday users under uncertain conditions in the field of real estate transactions. We are going to lead the reader during the World of open source environment in a practical example. The used components will be PostgreSQL, Octave, OSM data, QGIS, Google Maps API, Apache and different web languages. The main goal is decision support in real estate business. Its based on fuzzy logic, which is a widely used many-valued logic mathematical method nowadays. Presented by Gy旦rgy Szab坦, associate professor, University of Technology and Economics, Department of Photogrammetry and Geoinformatics
Decision Support in Uncertain Real Estate Transactions from MapWindow GIS
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Comparative analysis of Sz辿kesfeh辿rv叩r and Veszpr辿m based on geoinformatic methods /slideshow/bognar-gyenizse/36065444 qfat1xsqbyvwlrbyznd2-140619084338-phpapp01
In our actual investigation our goal was to compare the inhabited areas of Sz辿kesfeh辿rv叩r and Veszpr辿m based on social claims. To survey the opinion of people we used a questionnaire. Our investigations were based on GIS so we represented the results of the questionnaire in form of geoinformatic layers so that we could model the opinion of residents. The histories of these cities show numerous similarities. We can also find identities and detect many parallels between the opinion of respondents of the two cities. The distance seems to be the main factor which influences the judgement of inhabited areas. The boundary of Veszpr辿m in the narrow sense - thus if we do not consider those parts (former villages), which were annexed later to the city - is everywhere within 3 kilometres from the city centre. In case of Sz辿kesfeh辿rv叩r this value is about 5-5,5 km. That is why in Veszpr辿m the average score is of the inhabited area is double of the same value of Sz辿kesfeh辿rv叩r. Presented by Zita Bogn叩r]]>

In our actual investigation our goal was to compare the inhabited areas of Sz辿kesfeh辿rv叩r and Veszpr辿m based on social claims. To survey the opinion of people we used a questionnaire. Our investigations were based on GIS so we represented the results of the questionnaire in form of geoinformatic layers so that we could model the opinion of residents. The histories of these cities show numerous similarities. We can also find identities and detect many parallels between the opinion of respondents of the two cities. The distance seems to be the main factor which influences the judgement of inhabited areas. The boundary of Veszpr辿m in the narrow sense - thus if we do not consider those parts (former villages), which were annexed later to the city - is everywhere within 3 kilometres from the city centre. In case of Sz辿kesfeh辿rv叩r this value is about 5-5,5 km. That is why in Veszpr辿m the average score is of the inhabited area is double of the same value of Sz辿kesfeh辿rv叩r. Presented by Zita Bogn叩r]]>
Thu, 19 Jun 2014 08:43:38 GMT /slideshow/bognar-gyenizse/36065444 MapWindow@slideshare.net(MapWindow) Comparative analysis of Sz辿kesfeh辿rv叩r and Veszpr辿m based on geoinformatic methods MapWindow In our actual investigation our goal was to compare the inhabited areas of Sz辿kesfeh辿rv叩r and Veszpr辿m based on social claims. To survey the opinion of people we used a questionnaire. Our investigations were based on GIS so we represented the results of the questionnaire in form of geoinformatic layers so that we could model the opinion of residents. The histories of these cities show numerous similarities. We can also find identities and detect many parallels between the opinion of respondents of the two cities. The distance seems to be the main factor which influences the judgement of inhabited areas. The boundary of Veszpr辿m in the narrow sense - thus if we do not consider those parts (former villages), which were annexed later to the city - is everywhere within 3 kilometres from the city centre. In case of Sz辿kesfeh辿rv叩r this value is about 5-5,5 km. That is why in Veszpr辿m the average score is of the inhabited area is double of the same value of Sz辿kesfeh辿rv叩r. Presented by Zita Bogn叩r <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/qfat1xsqbyvwlrbyznd2-140619084338-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In our actual investigation our goal was to compare the inhabited areas of Sz辿kesfeh辿rv叩r and Veszpr辿m based on social claims. To survey the opinion of people we used a questionnaire. Our investigations were based on GIS so we represented the results of the questionnaire in form of geoinformatic layers so that we could model the opinion of residents. The histories of these cities show numerous similarities. We can also find identities and detect many parallels between the opinion of respondents of the two cities. The distance seems to be the main factor which influences the judgement of inhabited areas. The boundary of Veszpr辿m in the narrow sense - thus if we do not consider those parts (former villages), which were annexed later to the city - is everywhere within 3 kilometres from the city centre. In case of Sz辿kesfeh辿rv叩r this value is about 5-5,5 km. That is why in Veszpr辿m the average score is of the inhabited area is double of the same value of Sz辿kesfeh辿rv叩r. Presented by Zita Bogn叩r
Comparative analysis of Sz莨kesfeh莨rvr and Veszpr莨m based on geoinformatic methods from MapWindow GIS
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Recent trends in the world of computers Thought and facts /slideshow/masik-2/36065441 djhzishryi6lcqbewnby-140619084338-phpapp02
- in the future will increase the role of mobile application - desktop applications will only a small part of the software market - the largest part of the software market will the targeted, special applications - the role of desktop GIS will decrease, will used mostly for analysis and large-data manipulation - small, flexible targeted GIS softwares will used - web-based GIS technology will rule the GIS - off-line GIS will hardly decrease, on-line GIS will the adequate use of the GIS applications.]]>

- in the future will increase the role of mobile application - desktop applications will only a small part of the software market - the largest part of the software market will the targeted, special applications - the role of desktop GIS will decrease, will used mostly for analysis and large-data manipulation - small, flexible targeted GIS softwares will used - web-based GIS technology will rule the GIS - off-line GIS will hardly decrease, on-line GIS will the adequate use of the GIS applications.]]>
Thu, 19 Jun 2014 08:43:37 GMT /slideshow/masik-2/36065441 MapWindow@slideshare.net(MapWindow) Recent trends in the world of computers Thought and facts MapWindow - in the future will increase the role of mobile application - desktop applications will only a small part of the software market - the largest part of the software market will the targeted, special applications - the role of desktop GIS will decrease, will used mostly for analysis and large-data manipulation - small, flexible targeted GIS softwares will used - web-based GIS technology will rule the GIS - off-line GIS will hardly decrease, on-line GIS will the adequate use of the GIS applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/djhzishryi6lcqbewnby-140619084338-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> - in the future will increase the role of mobile application - desktop applications will only a small part of the software market - the largest part of the software market will the targeted, special applications - the role of desktop GIS will decrease, will used mostly for analysis and large-data manipulation - small, flexible targeted GIS softwares will used - web-based GIS technology will rule the GIS - off-line GIS will hardly decrease, on-line GIS will the adequate use of the GIS applications.
Recent trends in the world of computers Thought and facts from MapWindow GIS
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Hydrological investigations in the R辿tk旦z, Hungary /slideshow/boglarka-balazs/36065440 rx5d90clqduopkieugbo-140619084337-phpapp01
In this research the Modified Normalized Difference Water Index was used to enhance and map the open water features in a Hungarian sample area. Two Landsat-7 ETM+ images from 23. April and 30. September 2000 were used to derive the final maps. The sample area is highly endangered by excess water inundation therefore the rapid mapping of water surfaces is necessary. As result the MNDWI can be used for quick mapping, the result maps matched the distrubution of water closely. Presented by Bal叩zs Bogl叩rka, assistant professor at Debrecen University]]>

In this research the Modified Normalized Difference Water Index was used to enhance and map the open water features in a Hungarian sample area. Two Landsat-7 ETM+ images from 23. April and 30. September 2000 were used to derive the final maps. The sample area is highly endangered by excess water inundation therefore the rapid mapping of water surfaces is necessary. As result the MNDWI can be used for quick mapping, the result maps matched the distrubution of water closely. Presented by Bal叩zs Bogl叩rka, assistant professor at Debrecen University]]>
Thu, 19 Jun 2014 08:43:37 GMT /slideshow/boglarka-balazs/36065440 MapWindow@slideshare.net(MapWindow) Hydrological investigations in the R辿tk旦z, Hungary MapWindow In this research the Modified Normalized Difference Water Index was used to enhance and map the open water features in a Hungarian sample area. Two Landsat-7 ETM+ images from 23. April and 30. September 2000 were used to derive the final maps. The sample area is highly endangered by excess water inundation therefore the rapid mapping of water surfaces is necessary. As result the MNDWI can be used for quick mapping, the result maps matched the distrubution of water closely. Presented by Bal叩zs Bogl叩rka, assistant professor at Debrecen University <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rx5d90clqduopkieugbo-140619084337-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this research the Modified Normalized Difference Water Index was used to enhance and map the open water features in a Hungarian sample area. Two Landsat-7 ETM+ images from 23. April and 30. September 2000 were used to derive the final maps. The sample area is highly endangered by excess water inundation therefore the rapid mapping of water surfaces is necessary. As result the MNDWI can be used for quick mapping, the result maps matched the distrubution of water closely. Presented by Bal叩zs Bogl叩rka, assistant professor at Debrecen University
Hydrological investigations in the R莨tkz, Hungary from MapWindow GIS
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The multiresolution image format /MapWindow/bugya-titusz wlt6kztpsqjlpjyed5pq-140619084337-phpapp01
We present a new method and file format which allows to create, store and manipulate multiresolution raster images. Multiresolution raster image (mri) are unlike the classic raster images. An mri file is a regular text file, conformed xml 1.0 standard and allows: to store raster based images with different resolution in the same file and in the same time (i.e.: allows to contain rasters with different size in the same image); to export easily any part of the image as a separate raster image and to import an image as a part of a raster; to define geographical reference for a raster image and use this image as a raster based GIS model; to perform computations (i.e. image manipulation) on the content of the file. It is an important characteristic of the mri format that mathematical operations could be performed always in the same resolution as the current resolution of the given part of the image. To confirm this statement we present how to perform a convolution on an mri file. There are many raster based file formats nowadays, but at least in one point all of them are very similar to each other: the image contained by the file, has only one resolution on the entire image. This means that number of pixels of the image unambiguously can be computed knowing dimensions of this image (columns and rows). When the hardware used for displaying this image also known, the actual resolution can be defined as DPI. Hence, because the resolution in a separate parts of an image can not be changed, there is no way to store image data with different resolution in the same image. In case where two or more different resolution raster image of the same object is to be used, separate images with the adequate resolution has to be created one file for each resolution, or at least one layer for each resolution. Presented by Titusz Bugya, assistant professor, University of P辿cs Institute of Geography,]]>

We present a new method and file format which allows to create, store and manipulate multiresolution raster images. Multiresolution raster image (mri) are unlike the classic raster images. An mri file is a regular text file, conformed xml 1.0 standard and allows: to store raster based images with different resolution in the same file and in the same time (i.e.: allows to contain rasters with different size in the same image); to export easily any part of the image as a separate raster image and to import an image as a part of a raster; to define geographical reference for a raster image and use this image as a raster based GIS model; to perform computations (i.e. image manipulation) on the content of the file. It is an important characteristic of the mri format that mathematical operations could be performed always in the same resolution as the current resolution of the given part of the image. To confirm this statement we present how to perform a convolution on an mri file. There are many raster based file formats nowadays, but at least in one point all of them are very similar to each other: the image contained by the file, has only one resolution on the entire image. This means that number of pixels of the image unambiguously can be computed knowing dimensions of this image (columns and rows). When the hardware used for displaying this image also known, the actual resolution can be defined as DPI. Hence, because the resolution in a separate parts of an image can not be changed, there is no way to store image data with different resolution in the same image. In case where two or more different resolution raster image of the same object is to be used, separate images with the adequate resolution has to be created one file for each resolution, or at least one layer for each resolution. Presented by Titusz Bugya, assistant professor, University of P辿cs Institute of Geography,]]>
Thu, 19 Jun 2014 08:43:37 GMT /MapWindow/bugya-titusz MapWindow@slideshare.net(MapWindow) The multiresolution image format MapWindow We present a new method and file format which allows to create, store and manipulate multiresolution raster images. Multiresolution raster image (mri) are unlike the classic raster images. An mri file is a regular text file, conformed xml 1.0 standard and allows: to store raster based images with different resolution in the same file and in the same time (i.e.: allows to contain rasters with different size in the same image); to export easily any part of the image as a separate raster image and to import an image as a part of a raster; to define geographical reference for a raster image and use this image as a raster based GIS model; to perform computations (i.e. image manipulation) on the content of the file. It is an important characteristic of the mri format that mathematical operations could be performed always in the same resolution as the current resolution of the given part of the image. To confirm this statement we present how to perform a convolution on an mri file. There are many raster based file formats nowadays, but at least in one point all of them are very similar to each other: the image contained by the file, has only one resolution on the entire image. This means that number of pixels of the image unambiguously can be computed knowing dimensions of this image (columns and rows). When the hardware used for displaying this image also known, the actual resolution can be defined as DPI. Hence, because the resolution in a separate parts of an image can not be changed, there is no way to store image data with different resolution in the same image. In case where two or more different resolution raster image of the same object is to be used, separate images with the adequate resolution has to be created one file for each resolution, or at least one layer for each resolution. Presented by Titusz Bugya, assistant professor, University of P辿cs Institute of Geography, <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wlt6kztpsqjlpjyed5pq-140619084337-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We present a new method and file format which allows to create, store and manipulate multiresolution raster images. Multiresolution raster image (mri) are unlike the classic raster images. An mri file is a regular text file, conformed xml 1.0 standard and allows: to store raster based images with different resolution in the same file and in the same time (i.e.: allows to contain rasters with different size in the same image); to export easily any part of the image as a separate raster image and to import an image as a part of a raster; to define geographical reference for a raster image and use this image as a raster based GIS model; to perform computations (i.e. image manipulation) on the content of the file. It is an important characteristic of the mri format that mathematical operations could be performed always in the same resolution as the current resolution of the given part of the image. To confirm this statement we present how to perform a convolution on an mri file. There are many raster based file formats nowadays, but at least in one point all of them are very similar to each other: the image contained by the file, has only one resolution on the entire image. This means that number of pixels of the image unambiguously can be computed knowing dimensions of this image (columns and rows). When the hardware used for displaying this image also known, the actual resolution can be defined as DPI. Hence, because the resolution in a separate parts of an image can not be changed, there is no way to store image data with different resolution in the same image. In case where two or more different resolution raster image of the same object is to be used, separate images with the adequate resolution has to be created one file for each resolution, or at least one layer for each resolution. Presented by Titusz Bugya, assistant professor, University of P辿cs Institute of Geography,
The multiresolution image format from MapWindow GIS
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Guidelines for handling large amount of KML data /MapWindow/kml-36065209 5yc3zldptbgr1yeekg7j-140619083859-phpapp01
The practice of representing data with geospatial information can be observed in many disciplines and in our everyday life too. Use of free solutions is very popular and usually making the first steps easy. However, what happens if the amount of data exceeds a critical value, and we will face bad visual experiences or the performance of the system dramatically decrease because of the large number of features? Advanced IT skills can help to overcome this issue, but without them, browsing the reference guides and textbooks will not probably help, and we will give up. Presented by Marianna Zichar, assistant professor, University of Debrecen]]>

The practice of representing data with geospatial information can be observed in many disciplines and in our everyday life too. Use of free solutions is very popular and usually making the first steps easy. However, what happens if the amount of data exceeds a critical value, and we will face bad visual experiences or the performance of the system dramatically decrease because of the large number of features? Advanced IT skills can help to overcome this issue, but without them, browsing the reference guides and textbooks will not probably help, and we will give up. Presented by Marianna Zichar, assistant professor, University of Debrecen]]>
Thu, 19 Jun 2014 08:38:59 GMT /MapWindow/kml-36065209 MapWindow@slideshare.net(MapWindow) Guidelines for handling large amount of KML data MapWindow The practice of representing data with geospatial information can be observed in many disciplines and in our everyday life too. Use of free solutions is very popular and usually making the first steps easy. However, what happens if the amount of data exceeds a critical value, and we will face bad visual experiences or the performance of the system dramatically decrease because of the large number of features? Advanced IT skills can help to overcome this issue, but without them, browsing the reference guides and textbooks will not probably help, and we will give up. Presented by Marianna Zichar, assistant professor, University of Debrecen <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/5yc3zldptbgr1yeekg7j-140619083859-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The practice of representing data with geospatial information can be observed in many disciplines and in our everyday life too. Use of free solutions is very popular and usually making the first steps easy. However, what happens if the amount of data exceeds a critical value, and we will face bad visual experiences or the performance of the system dramatically decrease because of the large number of features? Advanced IT skills can help to overcome this issue, but without them, browsing the reference guides and textbooks will not probably help, and we will give up. Presented by Marianna Zichar, assistant professor, University of Debrecen
Guidelines for handling large amount of KML data from MapWindow GIS
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GIS based sewer maintenance using MapWindow Open Source GIS /slideshow/gis-based-sewer-maintenance-using-mapwindow-open-source-gis/36065061 bohfzdycq3ems0wwib2w-140619083635-phpapp01
Sewer maintenance workers are sensors for a lot of sewer specific phenomena like sedimentary depositions, smell, damage, danger, amount of work and best practice. The knowledge of these factors is important for optimized rehabilitation and maintenance concepts. Sewer maintenance workers put their data into a GIS based tool and they get back information about sewers which have to be maintained next. Subsequently the data are used in hydrodynamic and prognosis models to include operational experience in the planning processes of an optimized long term sewer rehabilitation. In Graz the sewers are now GIS based maintained. The long term strategy is to get low-maintenance sewers to be able to increase the maintenance quality followed by an increase of the lines span of life. Presented by Werner Sprung, Ingenieurb端ro Sprung, Austria]]>

Sewer maintenance workers are sensors for a lot of sewer specific phenomena like sedimentary depositions, smell, damage, danger, amount of work and best practice. The knowledge of these factors is important for optimized rehabilitation and maintenance concepts. Sewer maintenance workers put their data into a GIS based tool and they get back information about sewers which have to be maintained next. Subsequently the data are used in hydrodynamic and prognosis models to include operational experience in the planning processes of an optimized long term sewer rehabilitation. In Graz the sewers are now GIS based maintained. The long term strategy is to get low-maintenance sewers to be able to increase the maintenance quality followed by an increase of the lines span of life. Presented by Werner Sprung, Ingenieurb端ro Sprung, Austria]]>
Thu, 19 Jun 2014 08:36:35 GMT /slideshow/gis-based-sewer-maintenance-using-mapwindow-open-source-gis/36065061 MapWindow@slideshare.net(MapWindow) GIS based sewer maintenance using MapWindow Open Source GIS MapWindow Sewer maintenance workers are sensors for a lot of sewer specific phenomena like sedimentary depositions, smell, damage, danger, amount of work and best practice. The knowledge of these factors is important for optimized rehabilitation and maintenance concepts. Sewer maintenance workers put their data into a GIS based tool and they get back information about sewers which have to be maintained next. Subsequently the data are used in hydrodynamic and prognosis models to include operational experience in the planning processes of an optimized long term sewer rehabilitation. In Graz the sewers are now GIS based maintained. The long term strategy is to get low-maintenance sewers to be able to increase the maintenance quality followed by an increase of the lines span of life. Presented by Werner Sprung, Ingenieurb端ro Sprung, Austria <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bohfzdycq3ems0wwib2w-140619083635-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Sewer maintenance workers are sensors for a lot of sewer specific phenomena like sedimentary depositions, smell, damage, danger, amount of work and best practice. The knowledge of these factors is important for optimized rehabilitation and maintenance concepts. Sewer maintenance workers put their data into a GIS based tool and they get back information about sewers which have to be maintained next. Subsequently the data are used in hydrodynamic and prognosis models to include operational experience in the planning processes of an optimized long term sewer rehabilitation. In Graz the sewers are now GIS based maintained. The long term strategy is to get low-maintenance sewers to be able to increase the maintenance quality followed by an increase of the lines span of life. Presented by Werner Sprung, Ingenieurb端ro Sprung, Austria
GIS based sewer maintenance using MapWindow Open Source GIS from MapWindow GIS
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State of FOSS4G in Hungary /MapWindow/foss4ghu-debrecen i70m8me9sp6oe2rovqfc-140619083136-phpapp01
Free and Open Source Software for Geospatial (FOSS4G) had a boom after the millennium. Most applications are available on MS Windows and the majority of the users use these versions. Nowadays Open Source development became a winning development strategy. The new development trends of FOSS4G are considered in this presentation by Dr. Zolt叩n Siki ]]>

Free and Open Source Software for Geospatial (FOSS4G) had a boom after the millennium. Most applications are available on MS Windows and the majority of the users use these versions. Nowadays Open Source development became a winning development strategy. The new development trends of FOSS4G are considered in this presentation by Dr. Zolt叩n Siki ]]>
Thu, 19 Jun 2014 08:31:36 GMT /MapWindow/foss4ghu-debrecen MapWindow@slideshare.net(MapWindow) State of FOSS4G in Hungary MapWindow Free and Open Source Software for Geospatial (FOSS4G) had a boom after the millennium. Most applications are available on MS Windows and the majority of the users use these versions. Nowadays Open Source development became a winning development strategy. The new development trends of FOSS4G are considered in this presentation by Dr. Zolt叩n Siki <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/i70m8me9sp6oe2rovqfc-140619083136-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Free and Open Source Software for Geospatial (FOSS4G) had a boom after the millennium. Most applications are available on MS Windows and the majority of the users use these versions. Nowadays Open Source development became a winning development strategy. The new development trends of FOSS4G are considered in this presentation by Dr. Zolt叩n Siki
State of FOSS4G in Hungary from MapWindow GIS
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Gis in Bihor /slideshow/gis-in-bihor-36064424/36064424 mcohlwvptkoayjecfl1m-140619082059-phpapp01
How to setup a GIS in Bihor, Romania using public data. Presented by Dragos Ciortin]]>

How to setup a GIS in Bihor, Romania using public data. Presented by Dragos Ciortin]]>
Thu, 19 Jun 2014 08:20:59 GMT /slideshow/gis-in-bihor-36064424/36064424 MapWindow@slideshare.net(MapWindow) Gis in Bihor MapWindow How to setup a GIS in Bihor, Romania using public data. Presented by Dragos Ciortin <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mcohlwvptkoayjecfl1m-140619082059-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> How to setup a GIS in Bihor, Romania using public data. Presented by Dragos Ciortin
Gis in Bihor from MapWindow GIS
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Workshop: Community mapping and empowerment by Nagesh Kolagani /slideshow/easeofuse-and-effectiveness-of-participatory-gis-in-empowering-rural-communities-by-nagesh-kolagani-13750010/13750010 communitymappingcasestudy-120725051841-phpapp01
This is the paper belonging to the workshop]]>

This is the paper belonging to the workshop]]>
Wed, 25 Jul 2012 05:18:38 GMT /slideshow/easeofuse-and-effectiveness-of-participatory-gis-in-empowering-rural-communities-by-nagesh-kolagani-13750010/13750010 MapWindow@slideshare.net(MapWindow) Workshop: Community mapping and empowerment by Nagesh Kolagani MapWindow This is the paper belonging to the workshop <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/communitymappingcasestudy-120725051841-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is the paper belonging to the workshop
Workshop: Community mapping and empowerment by Nagesh Kolagani from MapWindow GIS
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Workshop: Community mapping and empowerment by Nagesh Kolagani /slideshow/easeofuse-and-effectiveness-of-participatory-gis-in-empowering-rural-communities-by-nagesh-kolagani-13750000/13750000 communitymappingcasestudypresentation-120725051801-phpapp01
These are the sheets used during the workshop]]>

These are the sheets used during the workshop]]>
Wed, 25 Jul 2012 05:18:01 GMT /slideshow/easeofuse-and-effectiveness-of-participatory-gis-in-empowering-rural-communities-by-nagesh-kolagani-13750000/13750000 MapWindow@slideshare.net(MapWindow) Workshop: Community mapping and empowerment by Nagesh Kolagani MapWindow These are the sheets used during the workshop <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/communitymappingcasestudypresentation-120725051801-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> These are the sheets used during the workshop
Workshop: Community mapping and empowerment by Nagesh Kolagani from MapWindow GIS
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Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Communities by Nagesh Kolagani /slideshow/easeofuse-and-effectiveness-of-participatory-gis-in-empowering-rural-communities-by-nagesh-kolagani-13749987/13749987 pgisdevelopmentfieldtrials-120725051710-phpapp01
This is the paper belonging to the presentation]]>

This is the paper belonging to the presentation]]>
Wed, 25 Jul 2012 05:17:09 GMT /slideshow/easeofuse-and-effectiveness-of-participatory-gis-in-empowering-rural-communities-by-nagesh-kolagani-13749987/13749987 MapWindow@slideshare.net(MapWindow) Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Communities by Nagesh Kolagani MapWindow This is the paper belonging to the presentation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pgisdevelopmentfieldtrials-120725051710-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is the paper belonging to the presentation
Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Communities by Nagesh Kolagani from MapWindow GIS
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Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Communities by Nagesh Kolagani /slideshow/easeofuse-and-effectiveness-of-participatory-gis-in-empowering-rural-communities-by-nagesh-kolagani-13749978/13749978 pgisdevelopmentfieldtrialspresentation-120725051633-phpapp02
These are the sheets of the presentation.]]>

These are the sheets of the presentation.]]>
Wed, 25 Jul 2012 05:16:29 GMT /slideshow/easeofuse-and-effectiveness-of-participatory-gis-in-empowering-rural-communities-by-nagesh-kolagani-13749978/13749978 MapWindow@slideshare.net(MapWindow) Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Communities by Nagesh Kolagani MapWindow These are the sheets of the presentation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pgisdevelopmentfieldtrialspresentation-120725051633-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> These are the sheets of the presentation.
Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Communities by Nagesh Kolagani from MapWindow GIS
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What's new in MapWindow v4.8 by Paul Meems /slideshow/whats-new-in-mapwindow-v48-by-paul-meems-13681306/13681306 velp2012-120718064834-phpapp01
In this keynote Paul Meems will show the new features of MapWindow v4.8 since last conference.]]>

In this keynote Paul Meems will show the new features of MapWindow v4.8 since last conference.]]>
Wed, 18 Jul 2012 06:48:32 GMT /slideshow/whats-new-in-mapwindow-v48-by-paul-meems-13681306/13681306 MapWindow@slideshare.net(MapWindow) What's new in MapWindow v4.8 by Paul Meems MapWindow In this keynote Paul Meems will show the new features of MapWindow v4.8 since last conference. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/velp2012-120718064834-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this keynote Paul Meems will show the new features of MapWindow v4.8 since last conference.
What's new in MapWindow v4.8 by Paul Meems from MapWindow GIS
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Collaborative geoprocessing with GGL by Fernando Gonz叩lez Cortes /MapWindow/collaborative-geoprocessing-with-ggl-by-fernando-gonzlez-cortes collaborativegeoprocessingggl2-120717075921-phpapp02
GGL is a programming language designed specifically to solve geoprocessing problems by means of scripts. It is simpler and more powerful than general purpose languages since it hides most of the complexities of software development and, at the same time, provides the user with specific constructions to process rasters, join tables, etc. One key advantage of GGL is that scripts can be reused from other scripts very easily so that each problem has to be solved just once, thus building an incremental base of geoprocessing knowledge. This geoprocessing knowledge can be applied in a wide variety of scenarios by using the command line GGL interpreter directly or through the APIs, which are useful to embed GGL geoprocesses in applications. As geoprocesses are scripts collaboration is quite easy. People can send geoprocesses in mails, make corrections, teach, give technical support, etc. And where there is collaboration there is a community of users. The greater the community is, the more probable is that someone has already solved your geoprocessing problem or a similar one that can be adapted with few changes. By its simplicity and collaborative nature, GGL brings the advantages of open source development to the geoprocessing users.]]>

GGL is a programming language designed specifically to solve geoprocessing problems by means of scripts. It is simpler and more powerful than general purpose languages since it hides most of the complexities of software development and, at the same time, provides the user with specific constructions to process rasters, join tables, etc. One key advantage of GGL is that scripts can be reused from other scripts very easily so that each problem has to be solved just once, thus building an incremental base of geoprocessing knowledge. This geoprocessing knowledge can be applied in a wide variety of scenarios by using the command line GGL interpreter directly or through the APIs, which are useful to embed GGL geoprocesses in applications. As geoprocesses are scripts collaboration is quite easy. People can send geoprocesses in mails, make corrections, teach, give technical support, etc. And where there is collaboration there is a community of users. The greater the community is, the more probable is that someone has already solved your geoprocessing problem or a similar one that can be adapted with few changes. By its simplicity and collaborative nature, GGL brings the advantages of open source development to the geoprocessing users.]]>
Tue, 17 Jul 2012 07:59:21 GMT /MapWindow/collaborative-geoprocessing-with-ggl-by-fernando-gonzlez-cortes MapWindow@slideshare.net(MapWindow) Collaborative geoprocessing with GGL by Fernando Gonz叩lez Cortes MapWindow GGL is a programming language designed specifically to solve geoprocessing problems by means of scripts. It is simpler and more powerful than general purpose languages since it hides most of the complexities of software development and, at the same time, provides the user with specific constructions to process rasters, join tables, etc. One key advantage of GGL is that scripts can be reused from other scripts very easily so that each problem has to be solved just once, thus building an incremental base of geoprocessing knowledge. This geoprocessing knowledge can be applied in a wide variety of scenarios by using the command line GGL interpreter directly or through the APIs, which are useful to embed GGL geoprocesses in applications. As geoprocesses are scripts collaboration is quite easy. People can send geoprocesses in mails, make corrections, teach, give technical support, etc. And where there is collaboration there is a community of users. The greater the community is, the more probable is that someone has already solved your geoprocessing problem or a similar one that can be adapted with few changes. By its simplicity and collaborative nature, GGL brings the advantages of open source development to the geoprocessing users. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/collaborativegeoprocessingggl2-120717075921-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> GGL is a programming language designed specifically to solve geoprocessing problems by means of scripts. It is simpler and more powerful than general purpose languages since it hides most of the complexities of software development and, at the same time, provides the user with specific constructions to process rasters, join tables, etc. One key advantage of GGL is that scripts can be reused from other scripts very easily so that each problem has to be solved just once, thus building an incremental base of geoprocessing knowledge. This geoprocessing knowledge can be applied in a wide variety of scenarios by using the command line GGL interpreter directly or through the APIs, which are useful to embed GGL geoprocesses in applications. As geoprocesses are scripts collaboration is quite easy. People can send geoprocesses in mails, make corrections, teach, give technical support, etc. And where there is collaboration there is a community of users. The greater the community is, the more probable is that someone has already solved your geoprocessing problem or a similar one that can be adapted with few changes. By its simplicity and collaborative nature, GGL brings the advantages of open source development to the geoprocessing users.
Collaborative geoprocessing with GGL by Fernando Gonzlez Cortes from MapWindow GIS
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inp.PINS a link between GIS and Storm Water Management Model by Rui Daniel Pina /slideshow/osgis-presentation-pina/13614586 osgispresentationpina-120712042741-phpapp02
inp.PINS is an application developed to automatically link Geographical Information Systems (GIS) and Storm Water Management Model (SWMM). SWMM is a public domain software, developed by the US-EPA, widely used for planning, analysis and design of drainage systems. As it is based on physical models, GIS with all the complex functions and modules available is extremely useful to characterize the SWMM base input model, and it is also a powerful tool to store, access, manipulate and visualize the SWMM inputs and results. inp.PINS has been applied for floodplain mapping (delineation of flood hazard maps) and reveals to be an efficient way to link GIS with SWMM. The interoperability achieved is very effective for the analysis required, since the process leads to an excellent characterization of the catchment and all model inputs, and a better analysis of the modelling results, taking advantage of both GIS and SWMM capabilities at the same time. inp.PINS is based on MapWinGIS.ocx and is now driven by the community needs the open source community is able to improve the capabilities, and also to make it even more flexible and this communication intends to present and discuss future developments on this project.]]>

inp.PINS is an application developed to automatically link Geographical Information Systems (GIS) and Storm Water Management Model (SWMM). SWMM is a public domain software, developed by the US-EPA, widely used for planning, analysis and design of drainage systems. As it is based on physical models, GIS with all the complex functions and modules available is extremely useful to characterize the SWMM base input model, and it is also a powerful tool to store, access, manipulate and visualize the SWMM inputs and results. inp.PINS has been applied for floodplain mapping (delineation of flood hazard maps) and reveals to be an efficient way to link GIS with SWMM. The interoperability achieved is very effective for the analysis required, since the process leads to an excellent characterization of the catchment and all model inputs, and a better analysis of the modelling results, taking advantage of both GIS and SWMM capabilities at the same time. inp.PINS is based on MapWinGIS.ocx and is now driven by the community needs the open source community is able to improve the capabilities, and also to make it even more flexible and this communication intends to present and discuss future developments on this project.]]>
Thu, 12 Jul 2012 04:27:39 GMT /slideshow/osgis-presentation-pina/13614586 MapWindow@slideshare.net(MapWindow) inp.PINS a link between GIS and Storm Water Management Model by Rui Daniel Pina MapWindow inp.PINS is an application developed to automatically link Geographical Information Systems (GIS) and Storm Water Management Model (SWMM). SWMM is a public domain software, developed by the US-EPA, widely used for planning, analysis and design of drainage systems. As it is based on physical models, GIS with all the complex functions and modules available is extremely useful to characterize the SWMM base input model, and it is also a powerful tool to store, access, manipulate and visualize the SWMM inputs and results. inp.PINS has been applied for floodplain mapping (delineation of flood hazard maps) and reveals to be an efficient way to link GIS with SWMM. The interoperability achieved is very effective for the analysis required, since the process leads to an excellent characterization of the catchment and all model inputs, and a better analysis of the modelling results, taking advantage of both GIS and SWMM capabilities at the same time. inp.PINS is based on MapWinGIS.ocx and is now driven by the community needs the open source community is able to improve the capabilities, and also to make it even more flexible and this communication intends to present and discuss future developments on this project. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/osgispresentationpina-120712042741-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> inp.PINS is an application developed to automatically link Geographical Information Systems (GIS) and Storm Water Management Model (SWMM). SWMM is a public domain software, developed by the US-EPA, widely used for planning, analysis and design of drainage systems. As it is based on physical models, GIS with all the complex functions and modules available is extremely useful to characterize the SWMM base input model, and it is also a powerful tool to store, access, manipulate and visualize the SWMM inputs and results. inp.PINS has been applied for floodplain mapping (delineation of flood hazard maps) and reveals to be an efficient way to link GIS with SWMM. The interoperability achieved is very effective for the analysis required, since the process leads to an excellent characterization of the catchment and all model inputs, and a better analysis of the modelling results, taking advantage of both GIS and SWMM capabilities at the same time. inp.PINS is based on MapWinGIS.ocx and is now driven by the community needs the open source community is able to improve the capabilities, and also to make it even more flexible and this communication intends to present and discuss future developments on this project.
inp.PINS a link between GIS and Storm Water Management Model by Rui Daniel Pina from MapWindow GIS
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Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Communities by Nagesh Kolagani /MapWindow/easeofuse-and-effectiveness-of-participatory-gis-in-empowering-rural-communities-by-nagesh-kolagani 2012osgis-120711073042-phpapp02
In rural South India, over the years, there has been a steady increase in ground water crises. To resolve these crises, participatory water management by increasing community involvement is essential. Participatory GIS can empower rural communities for such a role by facilitating better visualization and easier understanding. Towards this goal, as part of a Government of India funded a project, open source Quantum GIS software was simplified for use by village people. It was demonstrated in an upland village of South India and was evaluated for its ease-of-use in terms of how easily people could use it for producing and using maps and for its effectiveness in creating easier understanding and better decisions.]]>

In rural South India, over the years, there has been a steady increase in ground water crises. To resolve these crises, participatory water management by increasing community involvement is essential. Participatory GIS can empower rural communities for such a role by facilitating better visualization and easier understanding. Towards this goal, as part of a Government of India funded a project, open source Quantum GIS software was simplified for use by village people. It was demonstrated in an upland village of South India and was evaluated for its ease-of-use in terms of how easily people could use it for producing and using maps and for its effectiveness in creating easier understanding and better decisions.]]>
Wed, 11 Jul 2012 07:30:39 GMT /MapWindow/easeofuse-and-effectiveness-of-participatory-gis-in-empowering-rural-communities-by-nagesh-kolagani MapWindow@slideshare.net(MapWindow) Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Communities by Nagesh Kolagani MapWindow In rural South India, over the years, there has been a steady increase in ground water crises. To resolve these crises, participatory water management by increasing community involvement is essential. Participatory GIS can empower rural communities for such a role by facilitating better visualization and easier understanding. Towards this goal, as part of a Government of India funded a project, open source Quantum GIS software was simplified for use by village people. It was demonstrated in an upland village of South India and was evaluated for its ease-of-use in terms of how easily people could use it for producing and using maps and for its effectiveness in creating easier understanding and better decisions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2012osgis-120711073042-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In rural South India, over the years, there has been a steady increase in ground water crises. To resolve these crises, participatory water management by increasing community involvement is essential. Participatory GIS can empower rural communities for such a role by facilitating better visualization and easier understanding. Towards this goal, as part of a Government of India funded a project, open source Quantum GIS software was simplified for use by village people. It was demonstrated in an upland village of South India and was evaluated for its ease-of-use in terms of how easily people could use it for producing and using maps and for its effectiveness in creating easier understanding and better decisions.
Ease-of-use and Effectiveness of Participatory GIS in Empowering Rural Communities by Nagesh Kolagani from MapWindow GIS
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Ktunaxa RMS, open source GIS for a first nation by Joachim Van der Auwera /slideshow/ktunaxa-rms-open-source-gis-for-a-first-nation-by-joachim-van-der-auwera/13604895 ktunaxarms-120711071807-phpapp02
The Ktunaxa RMS is an open source web GIS application which does referral management for the Ktunaxa Nation Council. When someone want to do a project on the territory of the Ktunaxa people, a referral will need to be evaluated using this system. This analysis is guided using the application, evaluating the Ktunaxa values. This involves mostly spatial aspects. The presentation demonstrates the application and how it was built. The application uses many open source projects, including Geomajas, Hibernate Spatial, Activiti, Alfresco. The presentation focusses on the spatial aspects and integration (but the other integrations will also be mentioned).]]>

The Ktunaxa RMS is an open source web GIS application which does referral management for the Ktunaxa Nation Council. When someone want to do a project on the territory of the Ktunaxa people, a referral will need to be evaluated using this system. This analysis is guided using the application, evaluating the Ktunaxa values. This involves mostly spatial aspects. The presentation demonstrates the application and how it was built. The application uses many open source projects, including Geomajas, Hibernate Spatial, Activiti, Alfresco. The presentation focusses on the spatial aspects and integration (but the other integrations will also be mentioned).]]>
Wed, 11 Jul 2012 07:18:05 GMT /slideshow/ktunaxa-rms-open-source-gis-for-a-first-nation-by-joachim-van-der-auwera/13604895 MapWindow@slideshare.net(MapWindow) Ktunaxa RMS, open source GIS for a first nation by Joachim Van der Auwera MapWindow The Ktunaxa RMS is an open source web GIS application which does referral management for the Ktunaxa Nation Council. When someone want to do a project on the territory of the Ktunaxa people, a referral will need to be evaluated using this system. This analysis is guided using the application, evaluating the Ktunaxa values. This involves mostly spatial aspects. The presentation demonstrates the application and how it was built. The application uses many open source projects, including Geomajas, Hibernate Spatial, Activiti, Alfresco. The presentation focusses on the spatial aspects and integration (but the other integrations will also be mentioned). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ktunaxarms-120711071807-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Ktunaxa RMS is an open source web GIS application which does referral management for the Ktunaxa Nation Council. When someone want to do a project on the territory of the Ktunaxa people, a referral will need to be evaluated using this system. This analysis is guided using the application, evaluating the Ktunaxa values. This involves mostly spatial aspects. The presentation demonstrates the application and how it was built. The application uses many open source projects, including Geomajas, Hibernate Spatial, Activiti, Alfresco. The presentation focusses on the spatial aspects and integration (but the other integrations will also be mentioned).
Ktunaxa RMS, open source GIS for a first nation by Joachim Van der Auwera from MapWindow GIS
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Introducing the Geomajas Open Source framework for building spatial web applications by Joachim Van der Auwera /MapWindow/introducing-the-geomajas-open-source-framework-for-building-spatial-web-applications-by-joachim-van-der-auwera geomajasintroduction-120711071721-phpapp02
Geomajas is a highly secure and very performant framework for building spatial applications which are accessed through the web browser. It does not require browser plugins, making it very suitable for large enterprises and government. The framework has a tight integration between the application back-end and front-end allow high performance and strong security. It can integrate with many data sources. Development is in one language (Java). This makes it easier to build your team as one technology is sufficient and gives you a large pool of potential developers (Java). The framework is modular. There are more than 20 plug-ins offering various enhancements to the core. There are also some additional libraries which can easily be reused in other environments. The presentation will introduce all aspects of the framework.]]>

Geomajas is a highly secure and very performant framework for building spatial applications which are accessed through the web browser. It does not require browser plugins, making it very suitable for large enterprises and government. The framework has a tight integration between the application back-end and front-end allow high performance and strong security. It can integrate with many data sources. Development is in one language (Java). This makes it easier to build your team as one technology is sufficient and gives you a large pool of potential developers (Java). The framework is modular. There are more than 20 plug-ins offering various enhancements to the core. There are also some additional libraries which can easily be reused in other environments. The presentation will introduce all aspects of the framework.]]>
Wed, 11 Jul 2012 07:17:19 GMT /MapWindow/introducing-the-geomajas-open-source-framework-for-building-spatial-web-applications-by-joachim-van-der-auwera MapWindow@slideshare.net(MapWindow) Introducing the Geomajas Open Source framework for building spatial web applications by Joachim Van der Auwera MapWindow Geomajas is a highly secure and very performant framework for building spatial applications which are accessed through the web browser. It does not require browser plugins, making it very suitable for large enterprises and government. The framework has a tight integration between the application back-end and front-end allow high performance and strong security. It can integrate with many data sources. Development is in one language (Java). This makes it easier to build your team as one technology is sufficient and gives you a large pool of potential developers (Java). The framework is modular. There are more than 20 plug-ins offering various enhancements to the core. There are also some additional libraries which can easily be reused in other environments. The presentation will introduce all aspects of the framework. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/geomajasintroduction-120711071721-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Geomajas is a highly secure and very performant framework for building spatial applications which are accessed through the web browser. It does not require browser plugins, making it very suitable for large enterprises and government. The framework has a tight integration between the application back-end and front-end allow high performance and strong security. It can integrate with many data sources. Development is in one language (Java). This makes it easier to build your team as one technology is sufficient and gives you a large pool of potential developers (Java). The framework is modular. There are more than 20 plug-ins offering various enhancements to the core. There are also some additional libraries which can easily be reused in other environments. The presentation will introduce all aspects of the framework.
Introducing the Geomajas Open Source framework for building spatial web applications by Joachim Van der Auwera from MapWindow GIS
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