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A question about Spatial in Kriging

7 messages · Hasliza Rusmili, Bert Gunter, Jin Li +1 more

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Hi,

I am a student, still new and in the process of learning about Spatial.  I
have a project that requires me to do spatial kriging. But I still do not
get the idea of how I should start. I have monitoring air quality data in
dailly, monthly and yearly. My question is, to start doing kriging, I
have see that we need longitude and latitude, but did I need the latitude
and longitude of each dataset?.If I have total data about 500, am I
supposed to have 500 of longitude and latitude based on the data? and is
there any minimum or maximum of the dataset to get a better result in the
kriging? I hope to get a reply from you and thank you in advance.

Sincerely,

Siti Hasliza
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You should post this on the r-sig-geo list rather than here:
https://stat.ethz.ch/mailman/listinfo/r-sig-geo
That's where expertise on spatial data analysis is likely to reside.

Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Sun, Mar 20, 2022 at 11:07 AM Hasliza Rusmili
<haslizarusmili at gmail.com> wrote:
2 days later
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Thank you very much. I will ask the question there.

Siti Hasliza
On Mon, 21 Mar 2022, 03:28 Bert Gunter, <bgunter.4567 at gmail.com> wrote:

            

  
  
2 days later
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Start with a good book like "Applied Spatial
Data Analysis with R".  If you want to do spatial
data analysis, then you are going to need measurements
at lots of different places in space.

On Thu, 24 Mar 2022 at 23:14, Hasliza Rusmili <haslizarusmili at gmail.com>
wrote:

  
  
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For spatial predictive modeling in kriging, many reproducible examples on
data sampling and preparation, parameter optimization, accuracy assessment,
and the generation and visualization of spatial predictions have been
provided in a book "Spatial Predictive Modeling with R". The outline of
this book was published at: https://www.mdpi.com/2076-3417/9/10/2048. Four
R packages (i.e., spm, spm2, steprf and stepgbm) for the book, with many
reproducible examples, are also available on CRAN. Hope this helps.
On Fri, Mar 25, 2022 at 10:44 PM Richard O'Keefe <raoknz at gmail.com> wrote:

            

  
    
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Thank you for the reference to "Spatial Predictive Modeling with R".
I look forward to reading it.
2 days later
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Thank you for both references and suggestions. I look forward to
reading them.
On Sat, 26 Mar 2022 at 14:49, Richard O'Keefe <raoknz at gmail.com> wrote: