Introduction to Open Source Web GIS Programming
What you'll learn
- Basic of mapping
- Leafletjs
- GeoDjango
- GeoServer
- CRUD functionalities for spatial data
Requirements
- Basic programming concept
- Basic of Django
Description
This course is mainly designed for the peoples who are highly interested in the web-mapping/web-GIS development. In this course, I mainly focused on the leaflet, GeoDjango, GeoServer, and PostGIS. Since it is a practical-based course, I directly started to write the code rather than making slides. After finishing this course, you will get a clear idea about the web-GIS and web mapping technology using open-source programming languages. Inside the course, you will find simple, effective, and alternative ways to do the tasks.
Leaflet: Leaflet is the leading open-source JavaScript library for mobile-friendly interactive maps. Weighing just about 39 KB of JS, it has all the mapping features most developers ever need.
GeoDjango: Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. GeoDjango intends to be a world-class geographic Web framework. Its goal is to make it as easy as possible to build GIS Web applications and harness the power of spatially enabled data.
GeoServer: GeoServer implements industry-standard OGC protocols such as Web Feature Service (WFS), Web Map Service (WMS), and Web Coverage Service (WCS). Additional formats and publication options are available as extensions including Web Processing Service (WPS), and Web Map Tile Service (WMTS).
PostGIS: PostGIS is an open-source software program that adds support for geographic objects to the PostgreSQL object-relational database. PostGIS follows the Simple Features for SQL specification from the Open Geospatial Consortium.
Who this course is for:
- GIS developers
- Anyone who is interested to work on spatial data
Instructor
- 4.3 Instructor Rating
- 778 Reviews
- 7,714 Students
- 7 Courses
I am a dedicated geospatial researcher with over six years of experience, specializing in the intersection of Artificial Intelligence and geospatial technologies. I hold an MSc in Geoscience from the University of Calgary, Canada, and a BE in Geomatics Engineering from the Institute of Engineering, Pashchimanchal Campus, Nepal. As a strong advocate for open-source technologies, open standards, and open solutions, I am passionate about driving innovation in the geospatial domain.
My research focuses on AI-driven geospatial analysis, including natural disaster modeling, Web GIS, and satellite imagery interpretation using Machine Learning and Deep Learning. I have developed several open-source geospatial tools, such as geoserver-rest, GeoTile, pySLD, and leaflet-geoserver-request, contributing to the broader GIS and Earth observation community.
Beyond research and development, I actively share my expertise through my YouTube channel, GeoDev, where I provide educational content on geospatial technologies, remote sensing, and AI applications in GIS.