Spatial sampling design using information more than spatial coordinates [SEC=UNCLASSIFIED]
Jin-- Could you provide more information on what the needs of your client are that cannot be handled by either stratification or unequal probability based on your one or more covariates in spsurvey? Also, is your sample frame points, polygons, or raster? I assume your covariates are raster (e.g., DEM for elevation) and polygons (most soil maps)? Tom 2 On Wed, Apr 8, 2015 at 6:39 AM, Tomislav Hengl <hengl at spatial-analyst.net> wrote:
The "clhs" package (http://cran.r-project.org/web/packages/clhs/) has some functionality for latin-hypercube sampling hence it is suitable for your case. Here are some code examples: http://gsif.isric.org/doku. php?id=wiki:tutorial_eberg#testing_the_feature_space_coverage I have also recently (experimentally) implemented a function to test 'efficiency of any sampling plan' which looks at both geographical space and feature space representation: http://gsif.r-forge.r-project. org/spsample.prob.html If you discover a bug or some 'strange behavior', please let me know. HTH, T. (Tom) Hengl Researcher @ ISRIC - World Soil Information Team member Africa Soil Information Services http://africasoils.net Url: http://www.wageningenur.nl/en/Persons/dr.-T-Tom-Hengl.htm Network: http://profiles.google.com/tom.hengl Publications: http://scholar.google.com/citations?user=2oYU7S8AAAAJ On 8-4-2015 2:24, Jin.Li at ga.gov.au wrote:
Sorry for not ccing to the list! -----Original Message----- From: Li Jin Sent: Tuesday, 7 April 2015 9:36 AM To: 'Roger.Bivand at nhh.no' Subject: RE: [R-sig-Geo] Spatial sampling design using information more than spatial coordinates [SEC=UNCLASSIFIED] Thanks a lot, Roger! Yes, we have looked at spsurvey and it does not meet the needs of our client. Kind regards, Jin -----Original Message----- From: Roger Bivand [mailto:Roger.Bivand at nhh.no] Sent: Friday, 3 April 2015 2:06 AM To: Li Jin Cc: r-sig-geo at r-project.org Subject: Re: [R-sig-Geo] Spatial sampling design using information more than spatial coordinates [SEC=UNCLASSIFIED] On Thu, 2 Apr 2015, Jin.Li at ga.gov.au wrote: Hi All,
I need to consider both spatial information and another variable (e.g. elevation, soil type) in a sampling design. It seems the available libraries (e.g. sp and spcosa) in R for spatial sampling design are unable to handle it. Please correct me if I am wrong. Before I start to develop my own function for it, I would like to confirm if I have missed some other functions that are available for it in R. Any suggestions and advice? Thanks in advance!
Have you looked at spsurvey? It may not provide what you need, but checking it would probably help you see whether there is anything meeting your needs. Otherwise you might need to stratify first on your covariates. Roger
Regards, Jin Jin Li, PhD Spatial Modeller/Computational Statistician | National Earth and Marine Observations Group Environmental Geoscience Division | GEOSCIENCE AUSTRALIA ______________________________
______________________________ Phone: +61 2 6249 9899 Fax: +61 2 6249 9999 Email: Jin.Li at ga.gov.au<mailto:Jin.Li at ga.gov.au> Web: www.ga.gov.au <http://www.ga.gov.au/> Cnr Jerrabomberra Avenue and Hindmarsh Drive Symonston ACT GPO Box 378 Canberra ACT 2601 Australia Applying geoscience to Australia's most important challenges Geoscience Australia Disclaimer: This e-mail (and files transmitted with it) is intended only for the person or entity to which it is addressed. If you are not the intended recipient, then you have received this e-mail by mistake and any use, dissemination, forwarding, printing or copying of this e-mail and its file attachments is prohibited. The security of emails transmitted cannot be guaranteed; by forwarding or replying to this email, you acknowledge and accept these risks. ---------------------------------------------------------------------- --------------------------------------------------- [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo at r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
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