Nick Bearman

@nickbearman.bsky.social

89 Followers 90 Following

GIS Trainer & Consultant; now also at http://fosstodon.org/@nickbearman, Cartographic Editor @carto-giscience.bsky.social‬; cartography, open data, QGIS, R, http://linktr.ee/nickbearman

A screenshot of QGIS showing a world map in green.
A screenshot of a map created in R, showing Percentage population Ages 10 to 14 for Liverpool, UK.
A image of a point in polygon analysis - a series of hexagons with different coloured points in - and of a map showing local authorities (orange) overlaid with green space (green).
Screenshot of Posit Cloud (formerly RStudio Cloud) interface for a project titled 'intro-r-spatial-analysis' by user Nick Bearman. The interface is divided into several sections: 1) Left side shows an R script editor with code visible on lines 231-250, including commands for calculating crime rates, joining population data to LSOA crimes, and creating a map using the tmap package with tm_shape() and tm_polygons() functions using a 'brewer.greens' color scale; 2) Upper right shows the Environment panel listing data objects including 'breaks', 'crimes', 'crimes_sf'; 3) Lower right displays a Plots panel showing a choropleth map with geographic boundaries filled in varying shades of green representing 'Rate of Crimes per 10,000 population' with a legend showing five categories ranging from 6-87 to 884-2,624; 4) Bottom shows Console/Terminal tabs with R console output. The interface includes standard RStudio menus (File, Edit, Code, View, Plots, Session, Build, Debug, Profile, Tools, Help) and toolbar buttons.
Screenshot of Posit Cloud (formerly RStudio Cloud) interface for a project titled 'intro-r-spatial-analysis' by user Nick Bearman. The interface is divided into several sections: 1) Left side shows an R script editor with code visible on lines 231-250, including commands for calculating crime rates, joining population data to LSOA crimes, and creating a map using the tmap package with tm_shape() and tm_polygons() functions using a 'brewer.greens' color scale; 2) Upper right shows the Environment panel listing data objects including 'breaks', 'crimes', 'crimes_sf'; 3) Lower right displays a Plots panel showing a choropleth map with geographic boundaries filled in varying shades of green representing 'Rate of Crimes per 10,000 population' with a legend showing five categories ranging from 6-87 to 884-2,624; 4) Bottom shows Console/Terminal tabs with R console output. The interface includes standard RStudio menus (File, Edit, Code, View, Plots, Session, Build, Debug, Profile, Tools, Help) and toolbar buttons.
A image of a point in polygon analysis - a series of hexagons with different coloured points in - and of a map showing local authorities (orange) overlaid with green space (green).
A screenshot of gitRmap, a Leaflet web map with a series of points on the map.
A screenshot of slides and video of Dr Nick Bearman's InStats course What is GIS?
A screenshot of a map created in R, showing Percentage population Ages 10 to 14 for Liverpool, UK.
Students working on laptops creating maps.
A screenshot of QGIS showing a world map in green.
Screenshot of a Zoom window with participants.
Screenshot of a Zoom window with participants.
Student working on a tablet computer making a map.
Student working on a tablet computer making a map.
Student working on a tablet computer making a map.
Glossary page titled 'Using R as a GIS' containing two columns of programming terms and GIS-related definitions, with terms in italics being glossary entries and terms with brackets being R functions.
A screenshot of a map created in R, showing Percentage population Ages 10 to 14 for Liverpool, UK.
A screenshot of a loop in R, creating three different maps.
Screenshot of Posit Cloud (formerly RStudio Cloud) interface for a project titled 'intro-r-spatial-analysis' by user Nick Bearman. The interface is divided into several sections: 1) Left side shows an R script editor with code visible on lines 231-250, including commands for calculating crime rates, joining population data to LSOA crimes, and creating a map using the tmap package with tm_shape() and tm_polygons() functions using a 'brewer.greens' color scale; 2) Upper right shows the Environment panel listing data objects including 'breaks', 'crimes', 'crimes_sf'; 3) Lower right displays a Plots panel showing a choropleth map with geographic boundaries filled in varying shades of green representing 'Rate of Crimes per 10,000 population' with a legend showing five categories ranging from 6-87 to 884-2,624; 4) Bottom shows Console/Terminal tabs with R console output. The interface includes standard RStudio menus (File, Edit, Code, View, Plots, Session, Build, Debug, Profile, Tools, Help) and toolbar buttons.
Student working on a tablet computer making a map.
Student working on a tablet computer making a map.
Students working on laptops creating maps.
Students working on laptops creating maps.
A GEO100 sticker, saying GEO 100 Winner 2025 on top of two books - GIS: Research Methods and Using R as a GIS, both by Dr Nick Bearman
Students working on laptops creating maps.
Student working on a tablet computer making a map.
Students working on laptops creating maps.
A map showing tram stations (red and black points) with a 600m buffer (circles) around each, on top of IMD data (shades of blue).
Student working on a tablet computer making a map.
A image of a point in polygon analysis - a series of hexagons with different coloured points in - and of a map showing local authorities (orange) overlayed with green space (green).
Students working on laptops creating maps.
Students working on laptops creating maps.
Students working on laptops creating maps.
A screenshot of QGIS showing a world map in green.
Student working on a tablet computer making a map.
Student working on a tablet computer making a map.