Geospatial Analysis with Python and R Logo
2018

Course information

  • Introduction to Python GIS
  • General info
  • License and terms of usage

Lesson 0

  • Lesson 0 overview
  • Installation and verifying setup for Python + GIS
  • Recap Python Basics

Lesson 1

  • Lesson 1 overview
  • Geometric Objects - Spatial Data Model
  • Exercise 1
  • Exercise 1 hints

Lesson 2

  • Lesson 2 Overview
  • Git Version Control Basics
  • Working with an IDE (Spyder)
  • Introduction to Geopandas
  • Map projections
  • Exercise 2
  • Exercise 2 hints

Lesson 3

  • Lesson 3 overview
  • Point in Polygon & Intersect
  • Spatial join

Lesson 4

  • Lesson 4 overview
  • Data reclassification
  • Heatmaps with the Jupyter Gmaps plugin
  • Exercise 4
  • Exercise 4 hints

Lesson 5

  • Lesson 5 Overview
  • Static maps
  • Interactive maps with Bokeh
  • Interactive maps on Leaflet
  • Exercise 5
  • Exercise 5 hints
Geospatial Analysis with Python and R
  • Docs »
  • Exercise 5 hints
  • View page source

Exercise 5 hints¶

Read a few useful additional hints about what to consider when creating maps from this post.

Consider looking for some interesting datasets from various Estonian data portals:

  • Estonian Land Board Geoportal
  • Estonian Open Data Portal
  • Statistics Estonia , the Estonian Statistics Board data portal
  • Keskkonnaregister , Estonian registry for environmental data

More global data portal:

  • Datasets from Kaggle
  • GEOSS – Global Earth Observation System of Systems (GEOSS)
  • INSPIRE Geoportal
  • CUAHSI List of Water Data Portals
  • Arctic SDI Geoportal
  • Koordinates spatial data platform
  • ESA Open Data Main page and ESA Earth Data Catalog
  • NASA Open Data Main Page and NASA Data Catalog
  • GDI-DE Geoportal.de Germany
  • Geoland.at Austria
  • Swiss Topo Switzerland
  • OneGeology Projekt
  • US Govt Open Data
  • New Zealand Land Information data portal
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© Copyright 2018, Alexander Kmoch, Evelyn Uuemaa Last updated on Nov 26, 2018.

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