[R-sig-Geo] FW: Spatial sampling design using information more than spatial coordinates [SEC=UNCLASSIFIED]

[Tom Philippi]

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 ______________________________
>>> ______________________________
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>> --
>> Roger Bivand
>> Department of Economics, Norwegian School of Economics, Helleveien 30,
>> N-5045 Bergen, Norway.
>> voice: +47 55 95 93 55; fax +47 55 95 91 00
>> e-mail: Roger.Bivand at nhh.no
>>
>>
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