Awesome Spatial Data Science

We will try to bring up the information related to the spatial data science together in this page.

Masters Course:

• The Pennsylvania State University -
• University of South California
• University of Münster - Geoinformatics and Spatial Data Science (MSc)
• University of Bristol - MSc Geographic Data Science and Spatial Analytics
• Temple University - Professional Science Master’s in Geospatial Data Science
• London School of Economics and Political Science - MSc Geographic Data Science
• University College London - MSc Spatial Data Science and Visualisation

To be added ...........

Books:

• Geographical Data Science and Spatial Data Analysis: An Introduction in R (Spatial Analytics and GIS)

• Applied Spatial Data Analysis with R (Use R!, 10)

• Introduction to Spatial Data Analysis

• Spatial Data Mining: Theory and Application

• Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach

• Spatial Data Analysis: An Introduction for GIS users

• Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

• Spatial Data Analysis in Ecology and Agriculture Using R

• Interactive Spatial Data Analysis

• Spatial Big Data Science: Classification Techniques for Earth Observation Imagery

• Displaying Time Series, Spatial, and Space-Time Data with R (Chapman & Hall/CRC The R Series)

• Statistical Methods for Spatial Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

• Spatial Econometrics: From Cross-Sectional Data to Spatial Panels (SpringerBriefs in Regional Science)

• The Design and Analysis of Spatial Data Structures (Addison-Wesley series in computer science)

• Random Fields for Spatial Data Modeling: A Primer for Scientists and Engineers (Advances in Geographic Information Science)

To be added ...........

Online courses:

• Spatial Data Science: The New Frontier in Analytics
• Spatial Data Science and Applications
• Spatial Analysis & Geospatial Data Science in Python

To be added ...........

Invitation for collaborators:

Please feel free to contribute to the document. Let's try bring the spatial data science contents together so that it would be easier for every one to learn and share the knowledge.