Michael Dorman
Personal websiteCourses
- Spatial Data Programming with Python (2024)
- Spatial Data Programming with Python (2023)
- Spatial Data Programming with Python (2022)
- Spatial Data Programming with R (2024)
- Spatial Data Programming with R (2023)
- Spatial Data Programming with R (2022)
- Spatial Data Programming with R (2021)
- Spatial Data Programming with R (2020)
- Spatial Data Programming with R (2019)
- Introduction to Web Mapping (2023-2024)
- Introduction to Web Mapping (2022)
- Introduction to Web Mapping (2021)
- Introduction to Web Mapping (2020)
- Introduction to Web Mapping (2018)
Books
- Dorman, M., Graser, A., Nowosad, J., Lovelace, R. (in preparation). Geocomputation with Python. [Online]
- Dorman, M. 2020. Introduction to Web Mapping. Chapman and Hall/CRC. [CRC] [Amazon] [Online]
- Dorman, M. 2014. Learning R for Geospatial Analysis. Packt Publishing. [Packt] [Amazon]
Software
Presentations
- Introduction to Working with Spatial Data in Python, Poznan 2023
- Introduction to Working with Spatial Data in Python, Beer-Sheva 2023
- Introduction to Working with Spatial Data in Python, Rehovot 2023
- GIS Tutorial: Linking Exposures to Residential Adresses, Beer-Sheva (online) 2023
- Analysis of Data from Location-Based Social Networks (LBSN), Beer-Sheva (online) 2022
shadow: R Package for Geometric Shadow Calculations in an Urban Environment, Beer-Sheva (online) 2021- Analysis of Data from Location-Based Social Networks (LBSN), Beer-Sheva (online) 2021
- Using R for Spatial Data Analysis, Beer-Sheva (online) 2021
- R as a GIS: The `sf` library for processing vector layers, Beer-Sheva (online) 2020
- Analysis of Data from Location-Based Social Networks (LBSN), Beer-Sheva 2019
- Geospatial Analysis of Environmental Data, New-York 2018
- Spatial Data in R: Overview and Examples, Basel 2018
- Introduction to Vector Data Processing in R, Basel 2018
shadow: R Package for Geometric Shadow Calculations in an Urban Environment, Brussels 2017- Spatial Data in R: Overview and Examples, Beer-Sheva 2017