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URBAN GAMES
Perspectivas
Departamento de Urbanística y Ordenación del Territorio
Universidad de Granada
Profesor: Dr. Francisco Javier Abarca-Álvarez
fcoabarca@ugr.es

1854. Mapa de Cólera de Londres. Dr. John Snow

Tufte, E. R. (2007). The visual display of quantitative
Information. The Visual Display of Quantitative Information
(Second Edi). Cheshire, Connecticut: Graphics Press.
http://doi.org/10.1198/tech.2002.s78

En Meirelles, I. (2013). Design for Information (Vol. 5).
http://doi.org/10.1017/CBO9781107415324.004

Joseph Hutchins Colton, Johnson’s New
Illustrated Family Atlas with Physical Geography
(New York, 1864), pp. 10-11.

Ecosistema Urbano. Planning for Protest
Things we could learn from #15M in Madrid

Abarca-Alvarez, F.J., Staniscia, B. & Montanari, A. (2016)
Cultural Heritage in the framework of European Research Projects
https://doi.org/10.13140/RG.2.2.26341.04321

Campos-Sánchez, F. S., Abarca-Alvarez, F. J., Serra Coch, G. & Chastel, C. (2019).
Comparative assessment on Transit Oriented Development (TOD) level around
transport nodes of large cities: Complementary methods of decision support.
EURE Revista Larinoamericana de Estudios Urbano Regionales. 134 (45).
http://www.eure.cl/index.php/eure/article/view/2711

Abarca-Alvarez, F.J. Osuna-Pérez, F. Reinoso-Bellido, R. (2017)
Identificación de espacios urbanos con mayor calidad de vida.
Proyecto I+D+i EUOBs. Junta de Andalucía

Caras de Chernoff para evaluaciones
de los juzgados de US.

Abarca-Alvarez, F. J., Pérez-Campaña, R. & Talavera-García, R
(2017). Identificación de patrones espaciales del borde
urbano mediante mapas auto-organizados de la centralidad
de la red viaria. Urbano, 20(35), 19-29.
http://revistas.ubiobio.cl/index.php/RU/article/view/2860

Abarca-Álvarez, F.J., Navarro-Ligero, M.L., Valenzuela-Montes
L.M. & Campos-Sánchez F.S. (2019). European Strategies for
Adaptation to Climate Change with the Mayors Adapt
Initiative by Self-Organizing Maps. Applied Sciences;
9(18):3859. https://doi.org/10.3390/app9183859.

Greenwich Emotion Map
Nold, C. (2009). Emotional Cartography. Retrieved
from http://www.emotionalcartography.net

"Mapa figurativo de las sucesivas pérdidas de hombres de la Armada Francesa en la campaña de Rusia 1812-1813“.
Minard

Abarca-Alvarez, FJ & Campos-Sánchez, FS. (2018).
Inteligencia Artificial para la Inteligencia Urbana: Sistema de Ayuda a la Decisión para
la predicción de la vulnerabilidad social.
En Libro de Actas XVIII Conferencia de la Asociación Española para la Inteligencia
Artificial (CAEPIA). Editorial Universidad de Granada. Granada 23-26 octubre 2018.
https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_266.pdf
N de instancias (%) 5381 100.00
Atributo Media DS Media DS conf TE
2.1_EquipSaludPor1000Hab 1.39 6.16 1.56 2.45 ns
2.1_EquipEducacionPor1000Hab 1.14 2.36 2.16 3.20 *** +
2.1_EquipBienestarPor1000Hab 0.83 1.68 1.85 3.77 *** ++
2.1_EquipCulDepPor1000Hab 0.72 1.47 1.94 3.07 *** +++
2.1_EquipamientosPor1000Hab 4.08 8.31 7.51 7.25 *** +
2.2_%NoAguaCorriente 0.91 2.84 3.16 6.47 *** ++
2.2_%Gas 22.77 33.76 12.31 28.29 *** -
2.2_%Telefono 86.96 17.48 63.45 23.69 *** ---
2.5_%PocaLimpiezaCalles 35.10 19.82 21.23 22.00 *** --
2.6_%Delincuencia 25.32 23.67 4.94 10.62 *** ---
3.1_Poblacion 1367 518.00 900.20 410.50 *** ---
3.1_EdadMediaPoblacion 38.01 4.41 42.74 4.02 *** +++
3.1_%Nacimientos 11.32 3.21 9.54 2.78 *** --
3.2_PersonasPorEdificio 14.46 22.91 2.43 3.79 *** --
3.2_%Hogares1Adulto 18.80 7.55 27.87 7.37 *** +++
3.2_%Hogares1adultoYMenor 1.83 1.12 1.28 0.92 *** -
3.2_%Hogares2adulto 41.24 6.75 41.01 5.11 ns
3.2_%Hogares3adulto 18.41 3.36 16.53 3.13 *** --
3.2_%Hogares4adulto 19.71 6.64 13.32 4.70 *** ---
3.2_Hogares 449.20 167.50 340.20 145.70 *** --
3.2_HabitantesPorHogar 3.04 0.36 2.62 0.31 *** ---
3.2_RatioEdifViviendasPorHogar 0.74 0.56 1.42 0.48 *** +++
3.3_%PoblacionArraigada 80.11 9.49 82.19 5.00 *** +
3.3_%PoblacionInmigranteProvincial 3.87 5.81 3.83 3.52 ns
3.3_%PoblacionInmigranteRegional 1.35 1.28 0.97 1.09 *** -
3.3_%PoblacionInmigranteNacional 1.58 1.33 1.89 1.59 *** +
3.3_%PoblacionInmigranteExtranjero 1.32 2.79 1.13 1.95 *
3.3_%España 97.92 4.58 98.58 2.68 ***
3.3_%EuropaUE 0.77 2.97 0.82 2.21 ns
3.3_%EuropaNoUE 0.18 0.56 0.12 0.38 ***
3.3_%AmericaDelNorte 0.05 0.18 0.02 0.08 ***
3.3_%AmericaCentral 0.04 0.09 0.01 0.05 *** -
3.3_%AmericaDelSur 0.41 0.83 0.20 0.47 *** -
3.3_%Asia 0.08 0.34 0.02 0.12 ***
3.3_%Africa 0.54 2.01 0.23 1.05 ***
3.3_%Oceania 0.00 0.02 0.00 0.01 ***
3.3_%Apatridas 0.00 0.01 0.00 0.00 ***
3.4_%TrabajaEnProvincia 6.43 5.48 6.81 4.43 *
3.4_%TrabajaEnRegion 0.87 1.00 0.98 0.95 **
3.4_%TrabajaEnEspaña 0.47 0.57 1.00 1.26 *** +++
3.4_%TrabajaOtroPais 0.12 0.29 0.16 0.53 ns
4.1_%Ocupados 33.19 6.51 27.38 7.11 *** ---
4.1_%Parados 10.48 5.11 12.95 7.53 *** +
4.1_%Inactivos 38.02 7.24 43.94 7.25 *** +++
4.2_LocalComercialPor1000Hab 26.90 98.90 19.40 20.90 ***
4.2_OficinaYServiciosPor1000Hab 10.70 44.60 8.10 12.20 ***
4.2_Industrial1000Hab 3.07 12.11 3.63 7.94 ns
4.2_LocalAgrario1000Hab 0.65 6.71 3.14 19.84 ** +
4.2_LocalInactivoPor1000Hab 13.37 20.22 19.63 29.47 *** +
4.3_EstadoConstruccionesD 0.40 0.23 0.50 0.21 *** +
4.4_IDH_COMBINADO- 0.00 0.00 0.00 0.00 *** +
4.4_IDH_COMBINADO+ 0.00 0.00 0.00 0.00 ns
4.4_IDH_COMBINADO 0.00 0.00 0.00 0.00 *** +
4.5_%AgriculturaGanaderia 4.16 6.06 7.28 5.74 *** ++
4.5_%Pesca 0.14 0.59 0.03 0.12 ***
4.5_%Industria 3.81 2.46 2.81 2.18 *** -
4.5_%Construccion 4.47 2.44 4.35 2.08 ns
4.5_%Servicios 20.61 8.12 12.91 4.83 *** ---
4.5_%Paro 24.09 11.26 31.61 16.40 *** ++
4.6_%ViviendaEnPropiedad 82.28 13.30 82.73 10.10 ns
4.6_%ViviendasEnAlquiler 9.39 11.29 5.05 5.16 *** -
Perfil 4Muestra completa
550 10.22%

Abarca-Álvarez et al. (2019)
Detección de gentrificación a partir de datos demográficos.

Alfred H. Barr, Jr, Cubism and Abstract Art (New York, 1936)

En Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2016).
Human-Computer Interaction. Encyclopedia of Database
Systems. http://doi.org/10.1007/978-0-85729-079-3

Abarca-Álvarez, F.J., Campos-Sánchez, F.S. & Mora-Esteban, R.
(2019). Survey Assessment for Decision Support Using Self-
Organizing Maps Profile Characterization with an Odds and
Cluster Heat Map: Application to Children’s Perception of
Urban School Environments. Entropy 21, 916.
https://doi.org/10.3390/e21090916 ISSN 1099-4300

San Francisco Emotion Map
Nold, C. (2009). Emotional Cartography. Retrieved
from http://www.emotionalcartography.net

Stockport Emotion Map
Nold, C. (2009). Emotional
Cartography. Retrieved from
http://www.emotionalcarto
graphy.net

Bibliografía fundamental
Kirk, A. (2012). Data visualization: a successful design process: a structured design approach to equip you with the
knowledge of how to successfully accomplish any data visualization challenge efficiently and effectively.
Meirelles, I. (2013). Design for Information (Vol. 5). http://doi.org/10.1017/CBO9781107415324.004
Nold, C. (2009). Emotional Cartography. Retrieved from http://www.emotionalcartography.net
Tufte, E. R. (1991). Envisioning Information. Bulletin of the Medical Library Association, 79(3), 346–348.
http://doi.org/10.1213/00000539-199103000-00040
Tufte, E. R. (2006). Beautiful Evidence.
Tufte, E. R. (2007). The visual display of quantitative Information. The Visual Display of Quantitative Information
(Second Edi). Cheshire, Connecticut: Graphics Press. http://doi.org/10.1198/tech.2002.s78

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Perspectivas (2019)

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