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README.md
In dsm: Density Surface Modelling of Distance Sampling Data
dsm - Density surface modelling
What is dsm?
dsm provides a Generalized Additive Model (GAM)-based approach to calculate spatially-explicit estimates of animal abundance from distance sampling (also presence/absence and strip transect) data. Several utility functions are provided for model checking, plotting and variance estimation.
Open Access paper describing the methods: Miller, DL, ML Burt, EA Rexstad and L Thomas (2013). Spatial models for distance sampling data: recent developments and future directions. Methods in Ecology and Evolution.
Using dsm
Examples of how to use dsm and other distance sampling R packages are available at examples.distancesampling.org.
Try the dsm package in your browser
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dsm documentation built on Aug. 21, 2022, 1:07 a.m.
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dsm - Density surface modelling
What is dsm?
dsm provides a Generalized Additive Model (GAM)-based approach to calculate spatially-explicit estimates of animal abundance from distance sampling (also presence/absence and strip transect) data. Several utility functions are provided for model checking, plotting and variance estimation.
Open Access paper describing the methods: Miller, DL, ML Burt, EA Rexstad and L Thomas (2013). Spatial models for distance sampling data: recent developments and future directions. Methods in Ecology and Evolution.
Using dsm
Examples of how to use dsm and other distance sampling R packages are available at examples.distancesampling.org.
Try the dsm package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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