In lindesaysh/MRSea: Spatially adaptive regression splines using SALSA
R package
MRSea package:
- Scott-Hayward L.A.S., Walker C.G., Mackenzie M.L. (2021). “Vignette for the MRSea Package v1.3: Statistical Modelling of bird and cetacean distributions in offshore renewable development areas.” University of St. Andrews. Centre for Research into Ecological and Environmental Modelling.
Original Contract/Package documentation (2013)
-
Scott-Hayward L.A.S., Oedekoven C., Mackenzie M.L., Walker C.G., Rexstad E. (2013). “User Guide for the MRSea Package: Statistical Modelling of bird and cetacean distributions in offshore renewables development areas.” University of St. Andrews. Contract with Marine Scotland: SB9 (CR/2012/05)
-
Mackenzie, M.L, Scott-Hayward, L.A.S., Oedekoven, C.S., Skov, H., Humphreys, E., and Rexstad E. (2013). Statistical Modelling of Seabird and Cetacean data: Guidance Document. University of St. Andrews contract for Marine Scotland; SB9 (CR/2012/05). Marine Scotland Science Report 04/14
Methods
2D CReSS basis:
-
Scott-Hayward L.A.S., Mackenzie M.L., Walker C.G., Donovan C., Ashe E. (2014). “Complex Region Spatial Smoother CReSS.” Journal of Computational and Graphical Statistics, 23(2), 340-360. Online here
-
Scott-Hayward, L.A.S., Mackenzie, M.L., Ashe, E. and R. Williams. Modelling Killer Whale feeding behaviour using a spatially adaptive Complex Region Spatial Smoother (CReSS) and Generalised Estimating Equations (GEEs). JABES (2015). DOI: 10.1007/s13253-015-0209-2
SALSA 1D Algorithm:
- Walker C.G., Mackenzie M.L., Donovan C., O'Sullivan M. (2010). “SALSA - A Spatially Adaptive Local Smoothing Algorithm.” Journal of Statistical Computation and Simulation, 81(2), 179-191. Online here
2D SALSA Algorithm:
-
Scott-Hayward, L.A.S., Mackenzie, M.L., Walker, C.G., Shatumbu, G., Kilian, J.W., du Preez, P., 2023. Automated surface feature selection using SALSA2D; An illustration using elephant mortality data in Etosha National Park.
https://doi.org/10.48550/arXiv.2202.07977
-
Scott-Hayward, L.A.S. (2013) PhD Thesis: Novel Applications for Species Distribution Mapping Including Spatial Models in Complex Regions. Chapter 5: Spatially Adaptive Models for Complex Topographies. Online here
lindesaysh/MRSea documentation built on May 11, 2024, 11:30 p.m.
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.
R package
MRSea package:
- Scott-Hayward L.A.S., Walker C.G., Mackenzie M.L. (2021). “Vignette for the MRSea Package v1.3: Statistical Modelling of bird and cetacean distributions in offshore renewable development areas.” University of St. Andrews. Centre for Research into Ecological and Environmental Modelling.
Original Contract/Package documentation (2013)
-
Scott-Hayward L.A.S., Oedekoven C., Mackenzie M.L., Walker C.G., Rexstad E. (2013). “User Guide for the MRSea Package: Statistical Modelling of bird and cetacean distributions in offshore renewables development areas.” University of St. Andrews. Contract with Marine Scotland: SB9 (CR/2012/05)
-
Mackenzie, M.L, Scott-Hayward, L.A.S., Oedekoven, C.S., Skov, H., Humphreys, E., and Rexstad E. (2013). Statistical Modelling of Seabird and Cetacean data: Guidance Document. University of St. Andrews contract for Marine Scotland; SB9 (CR/2012/05). Marine Scotland Science Report 04/14
Methods
2D CReSS basis:
-
Scott-Hayward L.A.S., Mackenzie M.L., Walker C.G., Donovan C., Ashe E. (2014). “Complex Region Spatial Smoother CReSS.” Journal of Computational and Graphical Statistics, 23(2), 340-360. Online here
-
Scott-Hayward, L.A.S., Mackenzie, M.L., Ashe, E. and R. Williams. Modelling Killer Whale feeding behaviour using a spatially adaptive Complex Region Spatial Smoother (CReSS) and Generalised Estimating Equations (GEEs). JABES (2015). DOI: 10.1007/s13253-015-0209-2
SALSA 1D Algorithm:
- Walker C.G., Mackenzie M.L., Donovan C., O'Sullivan M. (2010). “SALSA - A Spatially Adaptive Local Smoothing Algorithm.” Journal of Statistical Computation and Simulation, 81(2), 179-191. Online here
2D SALSA Algorithm:
-
Scott-Hayward, L.A.S., Mackenzie, M.L., Walker, C.G., Shatumbu, G., Kilian, J.W., du Preez, P., 2023. Automated surface feature selection using SALSA2D; An illustration using elephant mortality data in Etosha National Park. https://doi.org/10.48550/arXiv.2202.07977
-
Scott-Hayward, L.A.S. (2013) PhD Thesis: Novel Applications for Species Distribution Mapping Including Spatial Models in Complex Regions. Chapter 5: Spatially Adaptive Models for Complex Topographies. Online here
R Package Documentation
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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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