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Uncertainty and context in GIScience and geography: challenges in the era of geospatial big data.

, , and . Int. J. Geogr. Inf. Sci., 33 (6): 1131-1134 (2019)

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Deriving Space-Time Variograms from Space-Time Autoregressive (STAR) Model Specifications., and . SDH, page 3-12. Springer, (2010)Positive spatial autocorrelation, mixture distributions, and geospatial data histograms.. ICSDM, page 1-6. IEEE, (2011)On the quality of likelihood-based estimators in spatial autoregressive models when the data dependence structure is misspecified, and . Journal of Statistical Planning and Inference, 69 (1): 153--174 (Jun 1, 1998)Hidden negative spatial autocorrelation.. J. Geogr. Syst., 8 (4): 335-355 (2006)Modeling spatial dependence in high spatial resolution hyperspectral data sets.. J. Geogr. Syst., 4 (1): 43-51 (2002)A geocomputation and geovisualization comparison of Moran and Geary eigenvector spatial filtering., and . Geoinformatics, page 1-4. IEEE, (2017)Generating random connected planar graphs.. GeoInformatica, 22 (4): 767-782 (2018)Random effects specifications in eigenvector spatial filtering: a simulation study., and . J. Geogr. Syst., 17 (4): 311-331 (2015)A Multilevel Eigenvector Spatial Filtering Model of House Prices: A Case Study of House Sales in Fairfax County, Virginia., , and . ISPRS Int. J. Geo Inf., 8 (11): 508 (2019)Uncertainty and context in GIScience and geography: challenges in the era of geospatial big data., , and . Int. J. Geogr. Inf. Sci., 33 (6): 1131-1134 (2019)