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Mastering Geospatial Analysis with Python

You're reading from   Mastering Geospatial Analysis with Python Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788293334
Length 440 pages
Edition 1st Edition
Languages
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Authors (3):
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Silas Toms Silas Toms
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Silas Toms
Paul Crickard Paul Crickard
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Paul Crickard
Eric van Rees Eric van Rees
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Eric van Rees
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Table of Contents (18) Chapters Close

Preface 1. Package Installation and Management FREE CHAPTER 2. Introduction to Geospatial Code Libraries 3. Introduction to Geospatial Databases 4. Data Types, Storage, and Conversion 5. Vector Data Analysis 6. Raster Data Processing 7. Geoprocessing with Geodatabases 8. Automating QGIS Analysis 9. ArcGIS API for Python and ArcGIS Online 10. Geoprocessing with a GPU Database 11. Flask and GeoAlchemy2 12. GeoDjango 13. Geospatial REST API 14. Cloud Geodatabase Analysis and Visualization 15. Automating Cloud Cartography 16. Python Geoprocessing with Hadoop 17. Other Books You May Enjoy

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To build an interactive crime dashboard, you will need to collect data to build a database. Then, you will query the data and add widgets to allow users to modify the queries without needing to code. Lastly, you will graph and map the query results.

Building a crime database

To build the components for a crime dashboard, we will use the City of Albuquerque's open data. Albuquerque has datasets for crime incidents, as well as area commands and beats. By combining the areas with incidents, you will be able to report on two geographic areas. You could then extend the analysis using neighborhood associations or any other boundary—Census blocks, groups, or tracts, and get demographic information as...

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