, 2005 Geospatial domain is characterised by vagueness, especially in the semantic disambiguation of the concepts in the domain, which makes defining universally accepted geo- ontology an onerous task.
Agarwal, Pragya +2 more
core
Extreme coefficients in Geographically Weighted Regression and their effects on mapping [PDF]
This study deals with the issue of extreme coefficients in geographically weighted regression (GWR) and their effects on mapping coefficients using three datasets with different spatial resolutions.
Cho, Seong-Hoon +3 more
core +1 more source
Total factor productivity effects of interregional knowledge spillovers in manufacturing industries across Europe [PDF]
The objective of this study is to identify knowledge spillovers that spread across regions in Europe and vary in magnitude for different industries. The study uses a panel of 203 NUTS-2 regions covering the 15 pre-2004 EU-member-states to estimate the ...
Manfred M. Fischer +2 more
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Discrimination of fungal disease infestation in oil-palm canopy hyperspectral reflectance data [PDF]
, 2009 This study focuses on the calibration of a statistical model of discrimination between different stages of a fungal disease attack on oil palm, based on field hyperspectral measurements at the canopy scale.
Brégand, Simon +7 more
core
Globalising Health Informatics: The Role of GIScience
, 2014 Health systems globally are undergoing significant changes. New systems are emerging in developing countries where there were previously limited healthcare options, existing systems in emerging and developed economies are under significant resource pressures and population dynamics are creating significant pressures for change. As health systems expand
Robertson, Hamish +4 more
openaire +3 more sources
Geographic information science in the era of geospatial big data: A cyberspace perspective. [PDF]
Innovation (Camb), 2022 Liu X +21 more
europepmc +1 more source
Accelerating ethics, empathy, and equity in geographic information science. [PDF]
Proc Natl Acad Sci U S A, 2022 Nelson TA, Goodchild MF, Wright DJ.
europepmc +1 more source
Africa's spatial data science landscape in the context of covid-19 pandemic. [PDF]
GeoJournal, 2023 Hodza P, Gibbes C, Koti F.
europepmc +1 more source
Agent Teams and Evolutionary Computation: Optimizing Semi- Parametric Spatial Autoregressive Models [PDF]
Classical spatial autoregressive models share the same weakness as the classical linear regression models, namely it is not possible to estimate non-linear relationships between the dependent and independent variables.
Matthias Koch, Tamás Krisztin
core
QnAs with Dawn J. Wright. [PDF]
Proc Natl Acad Sci U S A, 2022 Hardcastle M.
europepmc +1 more source