NDLI: A geostatistical approach to the change-of-support problem and variable-support data fusion in spatial analysis

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A geostatistical approach to the change-of-support problem and variable-support data fusion in spatial analysis

Content Provider	Springer Nature Link
Author	Wang, Jun Wang, Yang Zeng, Hui
Copyright Year	2016
Abstract	A key issue to address in synthesizing spatial data with variable-support in spatial analysis and modeling is the change-of-support problem. We present an approach for solving the change-of-support and variable-support data fusion problems. This approach is based on geostatistical inverse modeling that explicitly accounts for differences in spatial support. The inverse model is applied here to produce both the best predictions of a target support and prediction uncertainties, based on one or more measurements, while honoring measurements. Spatial data covering large geographic areas often exhibit spatial nonstationarity and can lead to computational challenge due to the large data size. We developed a local-window geostatistical inverse modeling approach to accommodate these issues of spatial nonstationarity and alleviate computational burden. We conducted experiments using synthetic and real-world raster data. Synthetic data were generated and aggregated to multiple supports and downscaled back to the original support to analyze the accuracy of spatial predictions and the correctness of prediction uncertainties. Similar experiments were conducted for real-world raster data. Real-world data with variable-support were statistically fused to produce single-support predictions and associated uncertainties. The modeling results demonstrate that geostatistical inverse modeling can produce accurate predictions and associated prediction uncertainties. It is shown that the local-window geostatistical inverse modeling approach suggested offers a practical way to solve the well-known change-of-support problem and variable-support data fusion problem in spatial analysis and modeling.
Starting Page	45
Ending Page	66
Page Count	22
File Format	PDF
ISSN	14355930
Journal	Journal of Geographical Systems
Volume Number	18
Issue Number	1
e-ISSN	14355949
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-01-06
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Change-of-support Variable-support data fusion Geostatistical inverse modeling Spatial prediction Uncertainty Regional/Spatial Science Geographical Information Systems/Cartography Computer Application in Social and Behavioral Sciences Landscape/Regional and Urban Planning Geography Simulation and Modeling
Content Type	Text
Resource Type	Article
Subject	Earth-Surface Processes Geography, Planning and Development Economics and Econometrics

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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