Working with Spatial Data - GitHub Pages
Working with Spatial Data
Working with Spatial Data
Research Computing Summer School 2019
Ian Percel
University of Calgary, Research Computing Services
May 30, 2019
Working with Spatial Data
Who is here?
Who has programmed in Python before?
Who has used Pandas before?
Who is familiar with Databases and SQL?
Who has worked with geospatial data before?
Who has used PySAL or GeoPandas before?
Working with Spatial Data
What is this talk about?
How do we do spatial analysis without a spatial DataBase like
QGIS, PostGRES, or ArcGIS?
PySAL provides computational geometry at a high level and
can be integrated in to Pandas column. Is this enough?
GeoPandas provides structures that are more useful for
geographic information science (rather than having to do
geometry manually)
If we are willing to do some of our own geometric analysis, we
can build our own spatial indexes [4]
What we won¡¯t cover: fast raster computations, fast GDAL
based operations, spatial statistics
Working with Spatial Data
Outline
1 Downloading Data, Accessing ARC, and Example Problem
2 Pandas Preliminaries
Theory
Practice
3 Minimalistic Spatial Data Handling with PySAL and Pandas
Theory
Practice
4 Geopandas Basics
Theory
Practice
Working with Spatial Data
Outline
5 GeoPandas for Combined Spatial and Numerical Analysis
Theory
Practice
6 Spatial Joins in GeoPandas using R-Tree Indexing
Theory
7 Bibliography
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