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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