Dear list,
I want to analyze two non-coincident point datasets to test if they are spatially correlated. One dataset consists of the incidence of mange in dogs at UK veterinary surgeries (n = 1203, predominately in urban areas). The second dataset consists of the prevalence of mange in foxes killed on game estates in the UK (n = 701, predominately in rural areas). I want to test whether the incidence of mange in dogs is spatially correlated with the prevalence of mange in foxes. After fairly extensive reading in spatial statistics I have only managed to find methods to test the spatial aggregation between two datasets or examples of studies which have correlated two spatial datasets after averages across regions have been taken. Can anyone offer me any advice on how to analyze these data and point me to any literature, especially worked examples? Thanks in advance for your help. Suzanne *Together we can reverse the decline in our native game and wildlife species. Become a member today and you can help conserve the countryside for generations to come. Your membership subscription will help fund our vital game and wildlife conservation research. Join online at www.gct.org.uk* E-mail Disclaimer E-mail & Website Disclaimer This communication from Suzanne Richardson at The Game Conservancy Trust contains information which is confidential and may also be privileged. It is for the exclusive use of the addressee. If you are not the addressee please note that any distribution, copying or use of this communication or the information in it is prohibited. If you have received this communication in error, please telephone us immediately to arrange for its return. Registered Address: Burgate Manor, Fordingbridge, Hampshire, SP6 1EF, UK. Tel: +44(0)1425 652381. Email: [EMAIL PROTECTED] Web: www.gct.org.uk. The Game Conservancy Limited is a charity company limited by guarantee registered in England and Wales under number 05579632, registered charity no: 1112023, UK VAT no: 665 2959 92.
