While my experience is mostly using point pattern analyses to examine fully-mapped data (points versus counts in quadrats), I have reviewed papers that used SADIE.

Basic SADIE analysis does not require you to have (x,y) coordinates - just counts in quadrats. If you have (x,y) coordinates, you could look at the version of SADIE for fully mapped data (http://www.rothamsted.ac.uk/pie/sadie/SADIE_downloads_software_page_5_2.htm#map label)

or consider other forms of analysis, such as second-order point pattern analysis (RIpley's K, the L-function [which is a transformed Ripley's K], O-ring, etc.). These techniques most likely will not require counts.

The choice of method, of course, is related to the over all study question. I would be happy to discuss this more with you if you would like.

Thanks

Dear Andrew

Have you publish some thing like this or not if yes do you have your teplete files?.. to revise and quite sure I go in right way.

Sami

Sami,

I have published papers related to point pattern analysis, but so have many, many other people. In my papers, I reference many of the classic spatial papers in plant ecology. I do not use SADIE, because I do not approach pattern analyses from the perspective of quadrats and counts. There are many SADIE papers out there though, and I'm sure some of them use mapped data (with x,y coordinates) like yours.

However, like I mentioned before, the choice of analysis should be driven by the overall study questions. SADIE may be the best choice for your study, or other methods may be better. Is your goal to understand the spatial pattern of the single species? How do you want to analyze the size data? Do you have hypotheses related to pattern and size? Once these are clear, the choice of analysis methods is much easier.

Dear Andrew

Thank you very much for your Share. I already download many papers using SADIE.

Our team would lioke to have a look for the effect pf pattern distribution on sand dune fixation. On the other hand I am taxonomist, Please find down links for my Publications:

https://dl.dropbox.com/u/44273256/samirabei2.pdf

and for the others if you are intrested

https://dl.dropbox.com/u/44273256/samirabei1.pdf

https://dl.dropbox.com/u/44273256/samirabei3.pdf

sami

OK, how does your team think that plant spatial patterns affect sand dune fixation? Do different plant patterns have different effects on dunes? This is an interested topic. Once I know the answers to these questions, I may be able to offer more advice. Feel free to email me ([email protected]) if you want to talk over email instead of ResearchGate, but we can also keep talking here so others may benefit from our conversation.

I will reply from my email

Sami,

It is true that in case of quadrat data one has to analyse it using density base quadrate analysis or alternatively nearest neigbour analysis. However, in such cases I have also found out that researchers use regional theory and apply kriging to examine pattern and directional bias etc. in the distribution of species.

Dear Brother

Thanks a lot.

Spatial Efficiency metric (SPAEF) is proven to be robust when comparing two raster maps. Python and Matlab codes are available at: http://space.geus.dk/tools_products/index.html

Two papers on the metric:

https://www.hydrol-earth-syst-sci.net/22/1299/2018/hess-22-1299-2018-assets.html

https://www.geosci-model-dev-discuss.net/gmd-2017-238/