Predicting Future Forest Ranges Using Array-based Geospatial Semantic Modelling

EarthzineGeospatial Semantic Array Programming, Original, Themed Articles

Studying the impacts of climate change requires looking at ranges of variables that transect a broad range of sectors. Geospatial Semantic Array Programming (GeoSemAP) offers the potential to help create a cross-discipline vocabulary for discussing data and processes used in geospatial studies. Within this field, the PESETA II project offers an example of how GeoSemAPs can be used to address the ecological challenges associated with a shifting climate.