Message-ID: <3afa5611-8bb9-5718-0f73-465c58d7f7ed@gmail.com>
Date: 2016-07-29T07:02:33Z
From: Tomislav Hengl
Subject: a spatial data set recommendation, please
In-Reply-To: <FF9DB805FC41CC4E95825A50F6806302B4A854DE@challenger.uhd.campus>
Hi Erin,
I think you are looking for a point data set that is available under
some public access license? For which area: global? regional/national?
local?
One data set I like to use for geostatistical mapping is the National
Geochemical Survey database (http://mrdata.usgs.gov/geochem/) because it
is very consistent, multivariate and well documented. Another large
point data set under public access is the NCSS Soil Characterization
Database (http://ncsslabdatamart.sc.egov.usda.gov/), but these are only
USA-available of course.
For global data sets, I would look at for example at the daily meteo
data from Global Historical Climatology Network
(https://www.ncdc.noaa.gov/data-access/land-based-station-data/land-based-datasets/global-historical-climatology-network-ghcn),
which I think is partially available via the meteo package
(http://www.rdocumentation.org/packages/meteo/versions/0.1-5).
Does it has to be inside a package? I've put in my GSIF package small
sample of the geochemical DB:
http://gsif.r-forge.r-project.org/geochm.html but it contains 'only'
2681 points :(
HTH
On 29-7-2016 6:00, Hodgess, Erin wrote:
> Hello!
>
> Could anyone recommend some good spatial data sets with one or two variables with 5000+ observations, please?
>
> I've been looking, probably not in the right place. Just getting little sets.
>
> Thanks,
> Erin
>
>
> Erin M. Hodgess
> Associate Professor
> Department of Mathematics and Statistics
> University of Houston - Downtown
> mailto: hodgesse at uhd.edu
>
> [[alternative HTML version deleted]]
>
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