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Geographic Information Systems and Science
Open accessAbstract
Geographic information science (GISc) has established itself as a collaborative information-processing scheme that is increasing in popularity. Yet, this interdisciplinary and/or transdisciplinary system is still somewhat misunderstood. This book talks about some of the GISc domains encompassing students, researchers, and common users. Chapters focus on important aspects of GISc, keeping in mind the processing capability of GIS along with the mathematics and formulae involved in getting each solution. The book has one introductory and eight main chapters divided into five sections. The first section is more general and focuses on what GISc is and its relation to GIS and Geography, the second is about location analytics and modeling, the third on remote sensing data analysis, the fourth on big data and augmented reality, and, finally, the fifth looks over volunteered geographic information.
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Li, D., Lu, M., & Wales, R. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.82008 · Cited by 3
Cited by
Nature and Aims of Geomorphological Mapping
Dramis, F., Guida, D., & Cestari, A. (2011) · Developments in Earth Surface Processes · doi:10.1016/b978-0-444-53446-0.00003-3 · Cited by 76
Theorizing Indigital Geographic Information Networks
Palmer, M. (2012) · Cartographica · doi:10.3138/carto.47.2.80 · Cited by 32
Metadata
- Venue
- IntechOpen eBooks
- Publisher
- IntechOpen
- Published
- 2019-11-13
- OpenAlex
- W2986580861
- Cited by
- 305
- References
- 124
- FWCI
- 15.22
- Type
- book
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
