Automating-GIS-processes/install

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Automating-GIS-processes/install

Automating-GIS-processes

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Installation YML files for installing GIS Python packages in different environments

site

Course material for the course ‘Automating GIS processes’ at the University of Helsinki, Finland

CSC18

Jupyter Notebook

2016

GitHub Pages for Automating GIS-processes

Jupyter Notebook

2017

Course materials of Automating GIS processes -course for year 2017, Department of Geosciences and Geography, Uni. Helsinki

Jupyter Notebook

CSC

Lesson materials for "Introduction to Python GIS" -course held at CSC Finland.

Course-information

Course information for Automating GIS processes course

notebooks

Jupyter Notebook

Lesson-1-Intro-Python-GIS

Lecture 1: Introduction to Python GIS and geometric objects.

Lesson-2-Geo-DataFrames

Lesson 2: Data structures in Pandas and Geopandas

2018

redirects to 2018 version of the course

Lesson-7-Automating-Raster-Data-Processing

Basics of raster data processing with Python and Gdal

Jupyter Notebook

automating-gis-processes.github.io

Redirect to autogis-site.readthedocs.io

Lesson-5-Making-Maps

Lesson 5: Visualization in Python, interactive and static maps.

Exercise-1

Exercise 1: Working with Geometric Objects

csc-notebook-dockerfile

How to build the image for CSC notebooks

Exercise-2

Exercise-2: Using pandas and geopandas to work with spatial data.

notebooks2019

Jupyter Notebook

Exercise-5

Exercise5 : Visualizing spatial data

Lesson-3-Geocoding-Spatial-Queries

Lesson-3: During the third week we will learn to convert addresses into Points and make spatial queries such as Point in Polygon.

Lesson-4-Classification-overlay

Lesson 4: Data classification, overlay analysis

slides

Presentation slides for the first and last lecture