Digital Elevation Models, Old Maps, And Cultural Heritage—Geospatial Assets For The Digital Humanities
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https://doi.org/10.3389/fcomm.2025.1507385 <-- shared paper
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#GIS #spatial #mapping #spatialanalysis #spatiotemporal #water #hydrography #remotesensing #earthobservation #landscape #humanimpacts #landforms #DEM #elevation #LiDAR #oldmaps #historicmaps #culture #society #infrastructure #community #change #DigitalHumanities #geography #cartography #environment #culturalheritage #Nederlands #LingeRiver #engineering #precisionmapping #understanding #history

Digital Elevation Models, Old Maps, And Cultural Heritage—Geospatial Assets For The Digital Humanities
--
https://doi.org/10.3389/fcomm.2025.1507385 <-- shared paper
--
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #water #hydrography #remotesensing #earthobservation #landscape #humanimpacts #landforms #DEM #elevation #LiDAR #oldmaps #historicmaps #culture #society #infrastructure #community #change #DigitalHumanities #geography #cartography #environment #culturalheritage #Nederlands #LingeRiver #engineering #precisionmapping #understanding #history

🫐 The Blueberry Map Experiment — modelling meets the mountains

In 2022, while living with my family in the Czech Republic, I built a digital map of wild blueberry hotspots in the Jizera Mountains.

At first, it looked like a fun summer project — our neighbors used the map to find the best berry spots and enjoy the landscape.
But behind it was a serious experiment: I tested species distribution modelling (SDM) methods, later adapted for wide-world rare earth element prediction.

Within this “blueberry project” I:
🔹 automated the full spatial workflow in R and QGIS,
🔹 generated geomorphons and other terrain-based predictors,
🔹 built and validated ML models,
🔹 created probability maps and tested them in the field.

✨ What started as a family hobby became a field-tested workflow for predictive geoscience.

#DataScience #MachineLearning #GIS #SpatialModeling #SDM #CzechRepublic #RemoteSensing #Geoscience #RStats #EnvironmentalData #PredictiveMapping #LandscapeEcology #RareEarthElements #CriticalMinerals

🫐 The Blueberry Map Experiment — modelling meets the mountains

In 2022, while living with my family in the Czech Republic, I built a digital map of wild blueberry hotspots in the Jizera Mountains.

At first, it looked like a fun summer project — our neighbors used the map to find the best berry spots and enjoy the landscape.
But behind it was a serious experiment: I tested species distribution modelling (SDM) methods, later adapted for wide-world rare earth element prediction.

Within this “blueberry project” I:
🔹 automated the full spatial workflow in R and QGIS,
🔹 generated geomorphons and other terrain-based predictors,
🔹 built and validated ML models,
🔹 created probability maps and tested them in the field.

✨ What started as a family hobby became a field-tested workflow for predictive geoscience.

#DataScience #MachineLearning #GIS #SpatialModeling #SDM #CzechRepublic #RemoteSensing #Geoscience #RStats #EnvironmentalData #PredictiveMapping #LandscapeEcology #RareEarthElements #CriticalMinerals

New R package: rgeomorphon 📦 by Andrew Brown

Classifies terrain forms using a parallel C++ implementation of the geomorphon algorithm.

🔗 https://github.com/brownag/rgeomorphon

#RStats#GIS#TerrainAnalysis#RemoteSensing#RSpatial

New R package: rgeomorphon 📦 by Andrew Brown

Classifies terrain forms using a parallel C++ implementation of the geomorphon algorithm.

🔗 https://github.com/brownag/rgeomorphon

#RStats#GIS#TerrainAnalysis#RemoteSensing#RSpatial