Over the past 10 years, fisheries scientists gradually adopted geostatistical tools when
analysing fish stock survey data for estimating population abundance. First, the relation …

Autocorrelation is a very general statistical property of ecological variables observed across
geographic space; it most common forms are patches and gradients. Spatial autocorrelation …

Geostatistics is a branch of spatial statistics that was originally developed for the mining
industry. The technique is now widely recognised as an important tool for the estimation of …

The analysis of fishing effort data has long occupied fisheries researchers in deriving
appropriate indices of abundance for identifying changes in the size of fish populations …

Zooplankton spatial heterogeneity has profound effects on understanding and modelling of
zooplankton population dynamics and interactions with other planktonic compartments, and …

Seed dispersal, interacting with environmental disturbance and management across
heterogeneous landscapes, results in irregular weed spatial distributions. Describing …

Aim To model long‐term trends in plant species distributions in response to predicted
changes in global climate. Location Amazonia. Methods The impacts of expected global …

Spatial interpolation methods are frequently used to estimate values of physical or chemical
constituents in locations where they are not measured. Very little research has been …

Ocean harvests have plateaued worldwide and many important commercial stocks have
been depleted. This has caused great concern among scientists, fishery managers, the …

The nonuniform spatial distribution of weeds complicates sampling, modeling, and
management of weed populations. Principles of a rational approach to analysis of weed …