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

Chapter 14. Cloud Geodatabase Analysis and Visualization

This chapter will cover CARTOframes, a Python package released by location intelligence software company CARTO in November 2017. It offers a Python interface for working with the CARTO stack, enabling integration of CARTO maps, analysis, and data services into data science workflows.

This chapter will cover the following topics:

  • The specifics of the CARTOframes Python library
  • Getting familiar with the CARTO stack and how CARTOframes interacts with different parts of it
  • How to install CARTOframes, its package requirements, and documentation
  • The different package dependencies of CARTOframes
  • How to get a CARTO API key
  • Setting up a CARTO Builder account
  • Virtual environments
  • Using Jupyter Notebook
  • Installing GeoPandas

A Python package created with data scientists in mind, CARTOframes is a data science tool that combines CARTO's SaaS offerings and web mapping tools with Python data science workflows. Released in late 2017 by CARTO (,...