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Book Tackles Topic of How to Improve Poverty-Stricken Areas Using Geospatial Technology
Architects and urban designers Rosario Giusti de Pérez and Ramón A. Pérez spent years working on projects to revitalize barrios in their home country of
The Pérezes began using ESRI's GIS software in 1976 to help analyze a proposal to build a town for coal workers in the Guasare-Socuy river valley in
"We have found GIS to be the best tool to help improve the overwhelming problem of urban poverty," the authors wrote.
Squatter settlements are often dilapidated and packed with people and lack enough land to accommodate modern systems for electricity, running water, and sewers. To maximize improvements to the target neighborhood, the Pérezes urge integrating GIS into planning and design when studying the area, then drafting the proposed improvements.
The authors describe their methodology using real scenarios, illustrations, and design ideas to show how GIS can help transform poor neighborhoods into more modern, livable communities. The book explains how users can
- Conduct the site analysis of the land and settlement, taking into account such factors as soil, slope, and drainage patterns.
- Analyze the built environment to understand social subdivisions and inhabitants' referential elements.
- Measure and map levels of poverty to establish priorities and assign resources.
- Study how residents use their space such as how they cope with the lack of sidewalks or streets.
- Build "what if" scenarios, including 3D models of the urban space, that show what the neighborhood would look like after changes take place such as a new location for a public transportation network.
- Decide where to place needed improvements such as roads, sewers, bus stops, sidewalks, and hand railings.
- Manage improvement projects to adhere to regulations set by national and local governments.
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Keep residents informed about the project by producing maps showing the location of proposed upgrades.

"In developing countries, the real use of GIS is to identify the absent or scarce social needs and locate them in the best available space," said the authors. "We need to apply the technology not just for estimating what proportion of public space is needed but also for sensing elements that are absent."
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