automating-gis-processes Goto Github PK

2016

GitHub Pages for Automating GIS-processes

2017

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

2018

redirects to 2018 version of the course

automating-gis-processes.github.io

Redirect to autogis-site.readthedocs.io

course-information

Course information for Automating GIS processes course

csc

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

csc-intensive-course

AutoGIS for CSC Intensive course

csc-notebook-dockerfile

How to build the image for CSC notebooks

csc18

exercise-1

Exercise 1: Working with Geometric Objects

exercise-2

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

exercise-3

Exercise 3: Geocoding and spatial join

exercise-4

Exercise-4: Data classification and overlay analysis

exercise-5

Exercise5 : Visualizing spatial data

exercise-7

Exercise 7: Raster data processing

fec

Python <3 GIS

fec2017-exercise1

Exercise 1 for AUTOGIS/FEC2017 -course

fec2017-exercise2

fec2017-exercise3

Exercise 3 for AUTOGIS/FEC2017 -course

fec2017-exercise4-arcpy

final-assignment-hints

Hints for final assignment

install

Installation YML files for installing GIS Python packages in different environments

jupyter-lab-environment

Configuring the JupyterLab Environment for CSC Notebooks

jupyterlab-csc-env

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

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

lesson-5-making-maps

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

lesson-7-automating-raster-data-processing

Basics of raster data processing with Python and Gdal