Many spatially resolved transcriptomic technologies do not have single-cell resolution but
measure the average gene expression for each spot from a mixture of cells of potentially …

Geospatial health data are essential to inform public health and policy. These data can be
used to quantify disease burden, understand geographic and temporal patterns, identify risk …

When conducting research within a framework of Geographic Information Science (GISc),
the scientific validity of this work can be argued as highly dependent upon the extent to …

Long-term ecological monitoring has contributed substantially towards advancements in
theoretical and applied ecology. However, the costs to maintain a long-term monitoring site …

Global patterns of species richness and their structuring forces have fascinated biologists
since Darwin, and provide critical context for contemporary studies in ecology, evolution and …

Many animals regulate their activity over a 24-h sleep–wake cycle, concentrating their peak
periods of activity to coincide with the hours of daylight, darkness, or twilight, or using …

Geocomputation with R is for people who want to analyze, visualize and model geographic
data with open source software. It is based on R, a statistical programming language that …

Panel data econometrics is obviously one of the main fields in the profession, but most of the
models used are difficult to estimate with R. plm is a package for R which intends to make …

Recent advances in the implementation of spatial econometrics model estimation
techniques have made it desirable to compare results, which should correspond between …

Globalization and economic growth are widely recognized as important drivers of biological
invasions. Consequently, there is an increasing need for governments to address the role of …