Results 41 to 50 of about 3,055,467 (232)
Measuring spatio-temporal autocorrelation in time series data of collective human mobility
Geo-spatial Information Science, 2019 Massive spatio-temporal big data about human mobility have become increasingly available. Revealing underlying dynamic patterns from these data is essential for understanding people’s behavior and urban deployment.
Yong Gao +3 more
doaj +1 more source
Revealing a spatial autocorrelation with local indicators
Ekonomski Vjesnik, 2009 Spatial autocorrelation may be defined as the relationship among values of a single variable that comes from the geographic arrangement of the areas in which these values occur.
Dražen Barković
doaj
Journal of Integrative Agriculture, 2018 Information on crop acreage is important for formulating national food polices and economic planning. Spatial sampling, a combination of traditional sampling methods and remote sensing and geographic information system (GIS) technology, provides an ...
Di WANG +3 more
doaj +1 more source
Spatial Patterns of Poverty in Central-Java Province [PDF]
, 2011 overty is one of the key issues in development program of Indonesia government. Poverty can be caused by geographical factors, namely the natural conditions, such as climate, density of forest, etc. Therefore, poverty problem
Susanto, Irwan +2 more
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Evaluating the Temporal and the Spatial Heterogeneity of the European Convergence Process, 1980-1999 [PDF]
In this paper, we suggest a general framework that allows testing simultaneously for temporal heterogeneity, spatial heterogeneity and spatial autocorrelation in b-convergence models.
Julie LE GALLO (IERSO, IFReDE-GRES) +1 more
core +2 more sources
Spatial contagion structures urban vegetation from parcel to landscape
People and Nature, 2022 Residential yards are a significant component of urban socio‐ecological systems; residential land covers 11% of the United States and is often the dominant land use within urban areas.
Dexter Henry Locke +3 more
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ISPRS Int. J. Geo Inf., 2019 The main purpose of this paper is to use regression models to explore the factors affecting housing prices as well as apply spatial aggregation to explore the changes of urban space prices.
Wen-Ching Wang +2 more
semanticscholar +1 more source
Spatial patterns in pond invertebrate communities: separating environmental and distance effects
, 2005 1.The nature and extent of spatial pattern in communities has important implications for their dynamics and conservation. Previous studies of pond ecosystems, over relatively small spatial scales, have found little evidence of spatial autocorrelation of ...
Briers, Robert A. +3 more
core +1 more source
A wavelet-based method to remove spatial autocorrelation in the analysis of species distributional data [PDF]
Web Ecology, 2008 Species distributional data based on lattice data often display spatial autocorrelation. In such cases, the assumption of independently and identically distributed errors can be violated in standard regression models.
G. Carl, C. F. Dormann, I. Kühn
doaj +1 more source
Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data [PDF]
Regions, independent of their geographic level of aggregation, are known to be interrelated partly due to their relative locations. Similar economic performance among regions can be attributed to proximity.
Michael Tiefelsdorf +3 more
core +3 more sources