A rich body of knowledge links biodiversity to ecosystem functioning (BEF), but it is primarily
focused on small scales. We review the current theory and identify six expectations for scale …

RNA sequencing in situ allows for whole-transcriptome characterization at high resolution,
while retaining spatial information. These data present an analytical challenge for …

The aim of the ecospat package is to make available novel tools and methods to support
spatial analyses and modeling of species niches and distributions in a coherent workflow …

Remote sensing is unique in its ability to record a variety of spatial and temporal data on
land surfaces with complete coverage, especially at larger spatial scales, and it has been …

Even though urban land-use change simulations provide useful information for decision
makers, planning is generally weakly integrated into land-change modelling. However, the …

Species spatial distributions are the result of population demography, behavioral traits, and
species interactions in spatially heterogeneous environmental conditions. Hence the …

Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical
Ecology and the implementation of this discipline in the R language. After short theoretical …

There has been a recent surge of interest in remote sensing and its use in ecology and
conservation but this is the first book to focus explicitly on the NDVI (Normalised Difference …

Species distribution models (SDMs) are numerical tools that combine observations of
species occurrence or abundance with environmental estimates. They are used to gain …

Modern computer-intensive statistical methods play a key role in solving many problems
across a wide range of scientific disciplines. This new edition of the bestselling …