sdm - Species Distribution Modelling
An extensible framework for developing species distribution models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. For more information, please check the following paper: Naimi, B., Araujo, M.B. (2016) <doi:10.1111/ecog.01881>.
Last updated 1 months ago
9.53 score 24 stars 1 dependents 312 scripts 1.7k downloadsusdm - Uncertainty Analysis for Species Distribution Models
This is a framework that aims to provide methods and tools for assessing the impact of different sources of uncertainties (e.g.positional uncertainty) on performance of species distribution models (SDMs).)
Last updated 1 years ago
6.87 score 3 stars 1 dependents 644 scripts 2.5k downloadsrts - Raster Time Series Analysis
This framework aims to provide classes and methods for manipulating and processing of raster time series data (e.g. a time series of satellite images).
Last updated 8 months ago
6.59 score 6 stars 1 dependents 107 scripts 499 downloadselsa - Entropy-Based Local Indicator of Spatial Association
A framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that can be used for both continuous and categorical data. In addition, this package offers other methods to measure local indicators of spatial associations (LISA). Furthermore, global spatial structure can be measured using a variogram-like diagram, called entrogram. For more information, please check that paper: Naimi, B., Hamm, N. A., Groen, T. A., Skidmore, A. K., Toxopeus, A. G., & Alibakhshi, S. (2019) <doi:10.1016/j.spasta.2018.10.001>.
Last updated 1 years ago
5.23 score 14 stars 24 scripts 250 downloads