musche1 at comcast.net wrote:
Being new to spatial analysis I don't have the right vocabulary. I have purchased the book applied spatial data analysis in r, but not received yet. I have a set of irregularly spaced points (utmx,utmy) where animals were sampled. So for each point I have a location and a species count. There is a spatial pattern in the data (for richness) - it is not just random. I have used a gam from mgcv to model the data. I would like to overlay a shapefile of polygons (watersheds) over the point data and in the end estimate the expected number of species in a watershed. For example if a watershed overlayed two bands of species richness one for a richness of 5 and one for a richness of 6 and each were equally represented in the watershed the expected number for a point in the watershed would be 5.5. Can someone point me in the right direction or provide terminology and/or packages that may do this. thank you. [[alternative HTML version deleted]]
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Hi,
What comes to my mind are the following papers:
@ARTICLE{Royle2005,
author = {Royle, J.A. and Wikle, C.K.},
title = {Efficient statistical mapping of avian count data},
journal = {Environ. Ecol. Stat.},
year = {2005},
volume = {12},
pages = {225--243},
number = {2}
}
doi: 10.1007/s10651-005-1043-4
@ARTICLE{Pebesma2005b,
author = {Pebesma, E.J. and Duin, R.N.M. and Burrough, P.A.},
title = {Mapping sea bird densities over the North Sea: Spatially
aggregated
estimates and temporal changes},
journal = {Environmetrics},
year = {2005},
volume = {16},
pages = {573--587},
number = {6},
timestamp = {2010.02.03},
url =
{http://www.scopus.com/inward/record.url?eid=2-s2.0-24944447904&partnerID=40&md5=88b8634524719043b9fad1bb71f2c9ca}
}
You could take a look at the papers and see what you can use.
cheers,
Paul
Drs. Paul Hiemstra Department of Physical Geography Faculty of Geosciences University of Utrecht Heidelberglaan 2 P.O. Box 80.115 3508 TC Utrecht Phone: +3130 274 3113 Mon-Tue Phone: +3130 253 5773 Wed-Fri http://intamap.geo.uu.nl/~paul