Abstract
Geospatial data analysis is a key component of decision-making and planning for numerous applications. Geographic Information Systems (GIS), such as ArcGIS®, provide rich analysis and mapping platforms. Modern technology enables us to collect and store massive amounts of geospatial data. The data formats vary widely and analysis requires numerous iterations. These characteristics make computer programming essential for exploring this data. Python is an approachable programming language for automating geospatial data analysis. This chapter discusses the capabilities of scripting for geospatial data analysis, some characteristics of the Python programming language, and the online code and data resources for this book. After downloading and setting up these resources locally, readers can walk through the step-by-step code example that follows. Last, this chapter presents the organization of the remainder of the book.
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© 2015 Springer International Publishing Switzerland
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Tateosian, L. (2015). Introduction. In: Python For ArcGIS. Springer, Cham. https://doi.org/10.1007/978-3-319-18398-5_1
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DOI: https://doi.org/10.1007/978-3-319-18398-5_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18397-8
Online ISBN: 978-3-319-18398-5
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