Automating-GIS-processes/Exercise-1

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Automating-GIS-processes/Exercise-1

Automating-GIS-processes

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Exercise 1: Working with Geometric Objects

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.

install

Installation YML files for installing GIS Python packages in different environments

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