The document discusses spatial data and its applications. It describes how spatial data is produced through remote sensing from satellites and aerial photography. It then discusses various applications of spatial data in public sector planning, natural resource management, and enterprise spatial analysis. The document also introduces the concept of geo-internet of things (geo-IOT) and potential applications that combine spatial data and IOT.
The document summarizes Eddie Lin's work in data science for social good. It discusses his participation in the 2016 Data Science for Social Good Summer Fellowship at the University of Chicago, and his current work at DSaPP, which uses data and machine learning to help solve social problems. It outlines common machine learning tasks and how they are similar to concepts learned in kindergarten. It also describes typical social good project categories and emphasizes open source tools.
The document discusses spatial data and its applications. It describes how spatial data is produced through remote sensing from satellites and aerial photography. It then discusses various applications of spatial data in public sector planning, natural resource management, and enterprise spatial analysis. The document also introduces the concept of geo-internet of things (geo-IOT) and potential applications that combine spatial data and IOT.
The document summarizes Eddie Lin's work in data science for social good. It discusses his participation in the 2016 Data Science for Social Good Summer Fellowship at the University of Chicago, and his current work at DSaPP, which uses data and machine learning to help solve social problems. It outlines common machine learning tasks and how they are similar to concepts learned in kindergarten. It also describes typical social good project categories and emphasizes open source tools.