Overview

Teaching: 1 min
Exercises: 0 min

Questions

Objectives

• Review pre-requisites, Python packages used, and tutorial outline

Tutorial provided by Emilio Mayorga

Prerequisites

• Ideally some familiarity with GIS (Geographical Information Systems) concepts regarding vector spatial objects (points, lines, polygons, etc).
• Python and conda
  • A conda environment with all required packages for this tutorial (and most of the other tutorials) will be available by default on the GeoHackWeek JupyterHub. See the Pre-event Material, specially Getting Started with conda and Introduction to Jupyter and JupyterHub.
  • Getting Started with conda also provides instructions for installating conda and conda environments on your computer.
  • The core geospatial vector packages used in these tutorial include geopandas and its dependencies, which include shapely, fiona, pyproj, descartes and pysal, in addition to core Python packages pandas, numpy, matplotlib, etc; pyepsg, geojson, folium (interactive maps in Jupyter notebooks), rasterstats (simplified raster-vector analysis), and psycopg2 (access to vector data stored in PostGIS, in this case hosted on the cloud on Amazon Web Services).
• OpenStreetMap familiarity

Tutorial summary (“episodes”)

1. Introduction
2. Geospatial Concepts
3. Encodings, Formats and Libraries
4. GeoPandas Introduction
5. GeoPandas Advanced Topics
6. OpenStreetMap data access and processing
7. Extra: Interacting with mapped data using Holoviz

Key Points

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