By Daniel A. Griffith, Yongwan Chun, Denis J. Dean
This publication includes refereed papers from the thirteenth foreign convention on GeoComputation held on the college of Texas, Dallas, might 20-23, 2015. considering the fact that 1996, the participants of the GeoComputation (the paintings and technology of fixing complicated spatial issues of desktops) neighborhood have joined jointly to strengthen a chain of meetings within the uk, New Zealand, Australia, eire and the USA of the USA. The convention encourages different issues on the topic of novel methodologies and applied sciences to counterpoint the longer term improvement of GeoComputation research.
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Extra info for Advances in Geocomputation: Geocomputation 2015--The 13th International Conference
PLoS One 7(2):e31,743 Mennis J (2003) Generating surface models of population using dasymetric mapping. Prof Geogr 55(1):31–42 Mennis J, Hultgren T (2006) Intelligent dasymetric mapping and its application to areal interpolation. Cartogr Geogr Inf Sci 33(3):179–194 Qiu F, Cromley R (2013) Areal interpolation and dasymetric modeling. Geogr Anal 45(3):213–215 Reibel M, Bufalino ME (2005) Street-weighted interpolation techniques for demographic count estimation in incompatible zone systems. Environ Plann A 37(1):127–139 46 A.
Clouds,” “hills,” “crowds,” “bays,” “the breeze,” and even “the milky Fig. ” Clearly, however, they are not. To emphasize this, consider a “simple” question: how many clouds are shown in Fig. 2? 2 Ups and Downs Or, in terms that are more geographical in nature, how many hills are shown in Fig. 3? The question begs a broader one: what is a hill? And the answer to that question raises even broader implications for geospatial modeling. Geographical space certainly can be characterized by the presence or absence of coherent objects (like hills) that are associated with distinct conditions and that occupy distinct locations.
2012), Gaughan et al. (2013), b Gallego (2010), Gallego et al. (2011), c Bhaduri et al. (2007), d Dmowska and Stepinski (2014) High-Resolution Population Grids for the Entire Conterminous United States 37 resolution for selected metropolitan areas), (2) they are a product of simple areal weighting interpolation (Goodchild et al. 1993) rather than disaggregation using dasymetric modeling, and (3) they are available only for 1990 and 2000. The Oak Ridge National Laboratory developed (Bhaduri et al.