R sig jobs - Sep 2023 - MAPME Initiative - Two collaboration opportunities as geospatial consultant in the context of agriculture, climate change and conflicts.

Dear R-Enthusiasts,

Our mission is to provide data support for development cooperation projects
during the preparation, monitoring, and evaluation phases. Our primary focus
areas include open-data and geospatial analysis in agriculture, conservation,
and conflict contexts. We do so by using open data in a general with a focus on
geospatial data (i.e preprocessed data products, satellite images etc.). For
more details see here: https://mapme-initiative.org/
<https://mapme-initiative.org/>

We use geospatial modelling techniques, remote sensing methods and different
methods to visualize the data (Rmarkdowns, Shiny Dashboards, etc.). We work as a
community with others on Github. You should be a geospatial expert proficient in
R. Packages like SF, Terra, Raster, SP and the general Tidyverse should be a
no-brainer for you.

We have two opportunities to work as a long-term consultants. For details please
see here:

https://drive.google.com/drive/folders/1noUJCW-yYFkpyeZivtjDCv7vkH4s2IzC?usp=drive_link
<https://drive.google.com/drive/folders/1noUJCW-yYFkpyeZivtjDCv7vkH4s2IzC?usp=drive_link>

Best regards,

The MAPME team
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Johannes,

How fast would someone be able to learn these geospatial R packages? I've
been coding in R for more than ten years in the financial space, and am
interested in applying my skills to help the fight on climate change, but
am unfamiliar with these packages *currently*. Would you happen to have
some resources I can look at, and perhaps a case study I could perform to
convince you of my skill set?

Best,

Ilya

On Mon, Sep 4, 2023 at 9:15?AM Johannes Schielein <
johannes.schielein at gmail.com> wrote:
> Dear R-Enthusiasts,
>
> Our mission is to provide data support for development cooperation
> projects during the preparation, monitoring, and evaluation phases. Our
> primary focus areas include open-data and geospatial analysis in
> agriculture, conservation, and conflict contexts. We do so by using open
> data in a general with a focus on geospatial data (i.e preprocessed data
> products, satellite images etc.). For more details see here:
> https://mapme-initiative.org/ <https://mapme-initiative.org/>
>
> We use geospatial modelling techniques, remote sensing methods and
> different methods to visualize the data (Rmarkdowns, Shiny Dashboards,
> etc.). We work as a community with others on Github. You should be a
> geospatial expert proficient in R. Packages like SF, Terra, Raster, SP and
> the general Tidyverse should be a no-brainer for you.
>
> We have two opportunities to work as a long-term consultants. For details
> please see here:
>
>
>
https://drive.google.com/drive/folders/1noUJCW-yYFkpyeZivtjDCv7vkH4s2IzC?usp=drive_link
> <
>
https://drive.google.com/drive/folders/1noUJCW-yYFkpyeZivtjDCv7vkH4s2IzC?usp=drive_link
> >
>
> Best regards,
>
> The MAPME team
>         [[alternative HTML version deleted]]
>
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> R-sig-jobs at r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-jobs
>
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