Automating-GIS-processes/CSC18 Automating-GIS-processes/CSC18

  • This repository has been archived on 16/Oct/2022
  • Stars
    star
    78
  • Rank 412,246 (Top 9 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created almost 7 years ago
  • Updated about 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
Automating-GIS-processes/CSC18
github

Automating-GIS-processes

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

site

Course material for the course ‘Automating GIS processes’ at the University of Helsinki, Finland
Python
305
star
2

2016

GitHub Pages for Automating GIS-processes
Jupyter Notebook
56
star
3

2017

Course materials of Automating GIS processes -course for year 2017, Department of Geosciences and Geography, Uni. Helsinki
Jupyter Notebook
46
star
4

CSC

Lesson materials for "Introduction to Python GIS" -course held at CSC Finland.
HTML
45
star
5

Course-information

Course information for Automating GIS processes course
38
star
6

notebooks

Jupyter Notebook
27
star
7

Lesson-1-Intro-Python-GIS

Lecture 1: Introduction to Python GIS and geometric objects.
HTML
21
star
8

Lesson-2-Geo-DataFrames

Lesson 2: Data structures in Pandas and Geopandas
10
star
9

2018

redirects to 2018 version of the course
HTML
6
star
10

Lesson-7-Automating-Raster-Data-Processing

Basics of raster data processing with Python and Gdal
Jupyter Notebook
5
star
11

automating-gis-processes.github.io

Redirect to autogis-site.readthedocs.io
HTML
3
star
12

Lesson-5-Making-Maps

Lesson 5: Visualization in Python, interactive and static maps.
3
star
13

Exercise-1

Exercise 1: Working with Geometric Objects
1
star
14

install

Installation YML files for installing GIS Python packages in different environments
1
star
15

csc-notebook-dockerfile

How to build the image for CSC notebooks
Dockerfile
1
star
16

Exercise-2

Exercise-2: Using pandas and geopandas to work with spatial data.
Python
1
star
17

notebooks2019

Jupyter Notebook
1
star
18

Exercise-5

Exercise5 : Visualizing spatial data
1
star
19

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.
1
star
20

Lesson-4-Classification-overlay

Lesson 4: Data classification, overlay analysis
1
star
21

slides

Presentation slides for the first and last lecture
HTML
1
star