[HTML][HTML] Machine learning-based global maps of ecological variables and the challenge of assessing them
The recent wave of published global maps of ecological variables has caused as much
excitement as it has received criticism. Here we look into the data and methods mostly used …
excitement as it has received criticism. Here we look into the data and methods mostly used …
Machine learning in landscape ecological analysis: a review of recent approaches
Abstract Context Artificial Intelligence (AI) has rapidly developed over the past several
decades. Several related AI approaches, such as Machine Learning (ML), have been …
decades. Several related AI approaches, such as Machine Learning (ML), have been …
Importance of spatial predictor variable selection in machine learning applications–Moving from data reproduction to spatial prediction
Abstract Machine learning algorithms find frequent application in spatial prediction of biotic
and abiotic environmental variables. However, the characteristics of spatial data, especially …
and abiotic environmental variables. However, the characteristics of spatial data, especially …
Model selection and information theory in geographical ecology
JAF Diniz‐Filho, TFLVB Rangel… - Global ecology and …, 2008 - Wiley Online Library
Aim Although parameter estimates are not as affected by spatial autocorrelation as Type I
errors, the change from classical null hypothesis significance testing to model selection …
errors, the change from classical null hypothesis significance testing to model selection …
Predicting into unknown space? Estimating the area of applicability of spatial prediction models
Abstract Machine learning algorithms have become very popular for spatial mapping of the
environment due to their ability to fit nonlinear and complex relationships. However, this …
environment due to their ability to fit nonlinear and complex relationships. However, this …
Remap: An online remote sensing application for land cover classification and monitoring
Recent assessments of progress towards global conservation targets have revealed a
paucity of indicators suitable for assessing the changing state of ecosystems. Moreover, land …
paucity of indicators suitable for assessing the changing state of ecosystems. Moreover, land …
Spatial cross-validation is not the right way to evaluate map accuracy
For decades scientists have produced maps of biological, ecological and environmental
variables. These studies commonly evaluate the map accuracy through cross-validation with …
variables. These studies commonly evaluate the map accuracy through cross-validation with …
Quantifying landscape spatial pattern: what is the state of the art?
EJ Gustafson - Ecosystems, 1998 - Springer
Landscape ecology is based on the premise that there are strong links between ecological
pattern and ecological function and process. Ecological systems are spatially …
pattern and ecological function and process. Ecological systems are spatially …
Eco-stats: Data analysis in ecology
DI Warton - Cham, Switzerland: Springer Nature Switzerland AG, 2022 - Springer
The core idea in this book is to recognise that most statistical methods you use can be
understood under a single framework, as special cases of (generalised) linear models …
understood under a single framework, as special cases of (generalised) linear models …
Identifying and quantifying uncertainty and spatial disagreement in the comparison of Global Land Cover for different applications
This paper provides a methodology for comparing global land cover maps that allows for
differences in legend definitions between products to be taken into account. The legends of …
differences in legend definitions between products to be taken into account. The legends of …