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SAS Global Forum 2009 Applications Development Paper 015-2009 Geospatial Analysis Using SAS and the Google Map API Mai Nguyen, Shane Trajan, Patricia Nguyen, Weight Handley RTI International, RTP,

The Google Map API can be used to generate a variety of reports: a geographic representation of the site and its area, a description of the boundaries, map labels, and other features; a graphical representation of the site area; and a bar-shaded projection of the site based on an appropriate dataset. This paper demonstrates the use of the Google Map API to generate an interactive 3D map-based interactive map of an entire city in the United States to analyze the changes of land use density and associated urban pattern. We present several applications of this mapping and visualization tool. We first use the Mapmaker extension to generate, modify, and process a Google Maps based interactive 3D map of an entire city in the United States. Our analysis of these data shows that our visualization was used for the first time at Urban CAD 2010 in London, but was subsequently used at the same event again and again at more than 50 other events. The results, however, are only as good as the available dataset and the ability of the mapmaker extension to use it. We then extend the Mapmaker integration to generate a Google Map API report of all properties in the city, and we use the Google Map API results presented in this report in our analysis of the site map. This allows us to make a single interactive map from this dataset, allowing us to study site-level effects or development impacts of urban land use change. Finally, we show that the results of the Mapmaker map can be extended to generate a Google Map API report, which is then used to analyze development impacts of the same dataset. We illustrate how our use of the Mapmaker extension, using the “zoom” functionality described in the paper and in the Appendix, enabled us to show how many new housing units have been added compared to the 2008 estimate. This allows us to compare our results across different iterations of our analysis, providing context for the differences in results across cities and across different geographic areas. We conclude with a discussion of these findings. BACKGROUND Our results are a reflection of the challenges posed by mapping, visualization, and interpretation of maps for the public, both for developers and non-developers who rely on maps on their websites and applications. Over the years we have used maps extensively, and as a hobby we often incorporate maps into a variety of applications. Our use of maps as an analytical tool has become more common, and we hope it has become better known to developers or interested parties. In 2002, we created Tableau.

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015- geospatial analysis uses geospatial data and analysis techniques to study and understand spatial patterns and relationships in various geographic phenomena.

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Any individual or organization that conducts geospatial analysis or uses geospatial data for analysis purposes may be required to file 015- geospatial analysis.

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The purpose of 015- geospatial analysis is to analyze spatial patterns and relationships in order to gain insights, make informed decisions, and solve geographical problems. It helps in understanding the distribution, density, and characteristics of geographic features.

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