Uncertainty Challenge in Geospatial Analysis: An Approximation from the Land Use Cover Change Modelling Perspective
Key Challenges in Geography, ISSN: 2522-8439, Vol: Part F2238, Page: 289-314
2019
- 6Citations
- 9Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
All data and geospatial analyses come with uncertainty. Although its importance has been widely recognized, uncertainty issues are still not correctly addressed in most of the current geospatial research. This chapter aims to provide an overview of the concepts, sources and tools to manage the uncertainty in geospatial analysis. To this end, we intend to increase the awareness about the importance of uncertainty for all geospatial data and analyses. Due to time and chapter length considerations, we address this topic from the Land Use Cover Change Modelling perspective.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85071482439&origin=inward; http://dx.doi.org/10.1007/978-3-030-04750-4_15; http://link.springer.com/10.1007/978-3-030-04750-4_15; http://link.springer.com/content/pdf/10.1007/978-3-030-04750-4_15; https://dx.doi.org/10.1007/978-3-030-04750-4_15; https://link.springer.com/chapter/10.1007/978-3-030-04750-4_15
Springer Science and Business Media LLC
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