Book Image

Mastering Geospatial Analysis with Python

By : Silas Toms, Paul Crickard, Eric van Rees
Book Image

Mastering Geospatial Analysis with Python

By: Silas Toms, Paul Crickard, Eric van Rees

Overview of this book

Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Packt Upsell
Geoprocessing with Geodatabases

Raster data formats

These are some of the most popular raster data formats used for geographical information today:

  • ECW (Enhanced Compressed Wavelet): ECW is a compressed image format typically for aerial and satellite imagery. This GIS file type is known for its high compression ratios while still maintaining quality contrast in images.
  • Esri grid: A file format for adding attribute data to a raster file. Esri grid files are available as integer and floating point grids.
  • GeoTIFF (Geographic Tagged Image File Format): An industry image standard file for GIS and satellite remote sensing applications. Almost all GIS and image processing software packages have GeoTIFF compatibility.
  • JPEG 2000: An open source compressed raster format that allows both lossy and lossless compression. JPEG 2000 typically have a JP2 file extension. JPEG 2000 can achieve a compression ratio of 20:1, which is similar to the MrSID format.
  • MrSID (Multi-Resolution Seamless Image Database): A compressed wavelet format that...