Research Data Leeds Repository
Items where Subject is "F000 - Physical sciences > F800 - Physical geographical sciences > F840 - Physical geography > F846 - Geographical information systems"
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- Joint Academic Coding System (JACS) (1329)
- F000 - Physical sciences (595)
- F800 - Physical geographical sciences (36)
- F840 - Physical geography (23)
- F846 - Geographical information systems (9)
- F840 - Physical geography (23)
- F800 - Physical geographical sciences (36)
- F000 - Physical sciences (595)
Dataset
Comber, Alexis and Brunsdon, Chris (2020) Geographical Data Science and Spatial Data Analysis: Data for Chapter 2. University of Leeds. [Dataset] https://doi.org/10.5518/866
Comber, Alexis and Brunsdon, Chris (2020) Geographical Data Science and Spatial Data Analysis: Data for Chapter 4. University of Leeds. [Dataset] https://doi.org/10.5518/868
Comber, Alexis and Brunsdon, Chris (2020) Geographical Data Science and Spatial Data Analysis: Data for Chapter 6. University of Leeds. [Dataset] https://doi.org/10.5518/870
Comber, Alexis and Brunsdon, Chris (2020) Geographical Data Science and Spatial Data Analysis: Data for Chapter 7. University of Leeds. [Dataset] https://doi.org/10.5518/871
Comber, Alexis and Brunsdon, Chris (2020) Geographical Data Science and Spatial Data Analysis: IBDSDA R Package. University of Leeds. [Dataset] https://doi.org/10.5518/867
Comber, Alexis and Brunsdon, Chris (2020) Geographical Data Science and Spatial Data Analysis: Prescribing Data. University of Leeds. [Dataset] https://doi.org/10.5518/869
Giniaux, Jeanne (2021) Gravity campaigns at Askja Volcano (Iceland), in 2015, 2016 and 2017, using the Scintrex CG-5 968. University of Leeds. [Dataset] https://doi.org/10.5518/1030
Osman, Sara (2023) Fail Fraction: ArcGIS Pro and QGIS tools to calculate the probability of roof collapse under tephra fall loading. University of Leeds. [Dataset] https://doi.org/10.5518/1458
Wei, Lijun, Gouet-Brunet, Valérie and Cohn, Anthony G. (2023) Supplementary material for ‘Location retrieval using qualitative place signatures of visible landmarks’. University of Leeds. [Dataset] https://doi.org/10.5518/1506


