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The Professional Geographer Volume 68, 2016 - Issue 1
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Articles

Dasymetric Spatiotemporal Interpolation

Jeremy MennisTemple UniversityView further author information
Pages 92-102 | Received 01 Jun 2014, Accepted 01 Sep 2014, Published online: 08 Jun 2015

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Read on this site (5)

Young-Long Kim. (2020) Data-driven approach to characterize urban vitality: how spatiotemporal context dynamically defines Seoul’s nighttime. International Journal of Geographical Information Science 34:6, pages 1235-1256.
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Hamidreza Zoraghein & Stefan Leyk. (2018) Enhancing areal interpolation frameworks through dasymetric refinement to create consistent population estimates across censuses. International Journal of Geographical Information Science 32:10, pages 1948-1976.
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Tyler Fricker, James B. Elsner, Victor Mesev & Thomas H. Jagger. (2017) A dasymetric method to spatially apportion tornado casualty counts. Geomatics, Natural Hazards and Risk 8:2, pages 1768-1782.
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Olle Järv, Henrikki Tenkanen & Tuuli Toivonen. (2017) Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation. International Journal of Geographical Information Science 31:8, pages 1630-1651.
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John R. Logan, Brian J. Stults & Zengwang Xu. (2016) Validating Population Estimates for Harmonized Census Tract Data, 2000–2010. Annals of the American Association of Geographers 106:5, pages 1013-1029.
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Articles from other publishers (9)

Marianne Cartagena-Colón, Hernando Mattei & Chao Wang. (2022) Dasymetric Mapping of Population Using Land Cover Data in JBNERR, Puerto Rico during 1990–2010. Land 11:12, pages 2301.
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Marko Kallio, Joseph H.A. Guillaume, Peter Burek, Sylvia Tramberend, Mikhail Smilovic, Alexander J. Horton & Kirsi Virrantaus. (2022) Unpacking dasymetric modelling to correct spatial bias in environmental model outputs. Environmental Modelling & Software 157, pages 105511.
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Hisham Eldardiry, Tian Zhou, Maoyi Huang & Oriana S. Chegwidden. (2022) The Role of Groundwater Withdrawals on River Regulation: Example From the Columbia River Basin. Water Resources Research 58:6.
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Claudia Bergroth, Olle Järv, Henrikki Tenkanen, Matti Manninen & Tuuli Toivonen. (2022) A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland. Scientific Data 9:1.
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Wen Zeng & Alexis Comber. (2020) Using household counts as ancillary information for areal interpolation of population: Comparing formal and informal, online data sources. Computers, Environment and Urban Systems 80, pages 101440.
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Alexis Comber & Wen Zeng. (2019) Spatial interpolation using areal features: A review of methods and opportunities using new forms of data with coded illustrations. Geography Compass 13:10.
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Jian Chen, Whitney P. BroussardIIIIII, David M. Borrok & Fabiane B. Speyrer. (2019) A GIS-Based Framework to Identify Opportunities to Use Surface Water to Offset Groundwater Withdrawals. Water Resources Management 33:9, pages 3227-3237.
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Jeremy Mennis, Michael Mason, Donna L. Coffman & Kevin Henry. (2018) Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions. International Journal of Environmental Research and Public Health 15:12, pages 2740.
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Jose M. Pavía & Isidro Cantarino. (2017) Dasymetric distribution of votes in a dense city. Applied Geography 86, pages 22-31.
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