Techniques of spatially explicit individual-based models: construction, simulation, and mean-field analysis
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In this paper, the authors present and relate four different frameworks in which spatially explicit individual-based models (IBMs) can be defined, which differ in the way space and time are modeled; each can be treated either discretely or continuously.About:
This article is published in Ecological Modelling.The article was published on 2002-04-15 and is currently open access. It has received 167 citations till now.read more
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Allee Effects in Ecology and Conservation
TL;DR: This paper presents a meta-analyses of population dynamics: modelling demographic Allee effects and its implications for conservation, management, and policy.
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Rectangular and hexagonal grids used for observation, experiment and simulation in ecology
TL;DR: This work considers modelling and other applications, including the role of nearest neighbourhood in experimental design, the representation of connectivity in maps, and a new method for performing field surveys using hexagonal grids, which was demonstrated on montane heath vegetation.
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Area–heterogeneity tradeoff and the diversity of ecological communities
TL;DR: An extensive database of breeding bird distribution in Catalonia is analyzed and it is shown that patterns of species richness, species abundance, and extinction rates are consistent with the predictions of the area–heterogeneity tradeoff and its proposed mechanisms.
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Statistics for spatial data
Noel A Cressie,Noel A Cressie +1 more
TL;DR: In this paper, the authors present a survey of statistics for spatial data in the field of geostatistics, including spatial point patterns and point patterns modeling objects, using Lattice Data and spatial models on lattices.
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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.
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Dispersal data and the spread of invading organisms.
TL;DR: A class of models, integrodifference equations, that directly incorporate detailed dispersal data as well as population growth dynamics are considered, finding that the speed of invasion of a spreading population is extremely sensitive to the precise shape of the redistribution kernel.