Comparing implementations of global and local indicators of spatial association
Roger Bivand,David Wong +1 more
TLDR
This comparison will consider the implementations of global Moran's I, Getis–Ord G and Geary’s C, local $$I_i$$Ii and $$G-i$$Gi, available in a range of software including Crimestat, GeoDa, ArcGIS, PySAL and R contributed packages.Abstract:
Functions to calculate measures of spatial association, especially measures of spatial autocorrelation, have been made available in many software applications Measures may be global, applying to the whole data set under consideration, or local, applying to each observation in the data set Methods of statistical inference may also be provided, but these will, like the measures themselves, depend on the support of the observations, chosen assumptions, and the way in which spatial association is represented; spatial weights are often used as a representational technique In addition, assumptions may be made about the underlying mean model, and about error distributions Different software implementations may choose to expose these choices to the analyst, but the sets of choices available may vary between these implementations, as may default settings This comparison will consider the implementations of global Moran’s I, Getis–Ord G and Geary’s C, local $$I_i$$
and $$G_i$$
, available in a range of software including Crimestat, GeoDa, ArcGIS, PySAL and R contributed packagesread more
Citations
More filters
Journal ArticleDOI
Human impacts on global freshwater fish biodiversity.
TL;DR: In this paper, a new index, Cumulative Change in Biodiversity Facets, revealed marked changes in biodiversity in >50% of the world's rivers covering >40% of world's continental surface and >37% of global river length.
Journal ArticleDOI
Impact of coronavirus (COVID-19) spread-prevention actions on urban water consumption
Andreza Kalbusch,Elisa Henning,Miqueias Paulo Brikalski,Felipe Vieira de Luca,Andrea Cristina Konrath +4 more
TL;DR: The regression model results confirm the effect of the restrictive actions in reducing consumption in non-residential categories, and indicate an increase in water consumption, which was steeper in apartment buildings than in houses, whether isolated or grouped in condominiums.
Journal ArticleDOI
Tropical and Mediterranean biodiversity is disproportionately sensitive to land-use and climate change.
TL;DR: Reductions in biodiversity were particularly large in regions where humans have come to dominate the land more recently, pointing toward particularly large declines in the tropics where much future agricultural expansion is expected to occur.
Journal ArticleDOI
Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina.
Qian Huang,Sarah L Jackson,Sahar Derakhshan,Logan Lee,Erika Pham,Amber Jackson,Susan L. Cutter +6 more
TL;DR: This paper examined the county-scale spatial and temporal patterns of confirmed cases of COVID-19 for South Carolina from March 1st-September 5th, 2020 and found that the case rates and mortality rates positively correlated with pre-existing social vulnerability.
Journal ArticleDOI
High variability of Blue Carbon storage in seagrass meadows at the estuary scale.
Aurora M. Ricart,Aurora M. Ricart,Paul H. York,Catherine Bryant,Michael Rasheed,Daniel Ierodiaconou,Peter I. Macreadie +6 more
TL;DR: The results showed that C org stored in sediments of seagrass meadows can be highly variable within an estuary, attributed largely to accumulation of fine sediments and inputs of allochthonous sources.
References
More filters
Journal ArticleDOI
APE: Analyses of Phylogenetics and Evolution in R language
TL;DR: UNLABELLED Analysis of Phylogenetics and Evolution (APE) is a package written in the R language for use in molecular evolution and phylogenetics that provides both utility functions for reading and writing data and manipulating phylogenetic trees.
Journal ArticleDOI
Local Indicators of Spatial Association—LISA
TL;DR: In this paper, a new general class of local indicators of spatial association (LISA) is proposed, which allow for the decomposition of global indicators, such as Moran's I, into the contribution of each observation.
Journal ArticleDOI
Notes on continuous stochastic phenomena.
TL;DR: Two problems arising in the two and three-dimensional cases of stochastic phenomena which are distributed in space of two or more dimensions are considered.
Journal ArticleDOI
5. Statistics for Spatial Data
Mike Rees,N. Cressie +1 more
TL;DR: Cressie et al. as discussed by the authors presented the Statistics for Spatial Data (SDS) for the first time in 1991, and used it for the purpose of statistical analysis of spatial data.
Journal ArticleDOI
The Analysis of Spatial Association by Use of Distance Statistics
TL;DR: In this article, a family of statistics, G, is introduced to evaluate the spatial association of a variable within a specified distance of a single point, and a comparison is made between a general G statistic and Moran's I for similar hypothetical and empirical conditions.