# Geostatistic Project
[project google dirve](https://drive.google.com/drive/folders/1s5cVqpCISNVEgvk28Vetu47r6Tfn15EC?usp=share_link)
## 31.01.2023
8pm
https://rpubs.com/OzuShi/348822
## 24.01.2023
### ToDo
* Try to do one kriging of the rain precipitation
* Ping-Chi will write an email to teh prof. about the kriging.
* Maybe we need to create a new table for the kriging or analyze.
### Focus on these two datasets
https://data.gov.tw/dataset/130307
https://data.gov.tw/dataset/130309
### some goals (maybe!?)
* Sum of the rain precipitation
* Every decade sum of them
* Kriging
* Maybe we can compare the same month of every year. Etc. 1960 Jan. vs. 1970 Jan.
* Information of global warming from other professional people. Take a look how they do it.
* Start with the precipitation and try to do the kriging.
## 17.01.2023
### Todo
1. Check the data from our own country.
2. Practice R
3. Find the goal of the project, like compare 2 datas and try to find the relationship between them. Krieging & Cokrieging are needed.
### By Ping-Chi
https://data.gov.tw/dataset/130307
https://data.gov.tw/dataset/130309
The temperature vs rainfall precipitation
Global warming vs rainfall precipitation.
## 10.01.2023
### Websites
#### [data.europa.eu](https://data.europa.eu/data/datasets?locale=de&_x_tr_sl=de&_x_tr_tl=en&_x_tr_hl=ru&_x_tr_pto=wapp)
Seems like this is the best one.
#### [OECD STatistics](https://stats.oecd.org/)
Environment>>Material resources
Universal, international
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#### [Eurostat](https://ec.europa.eu/eurostat/data/database)
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#### [Gisco](https://ec.europa.eu/eurostat/web/gisco/)
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#### [WetterKontor](https://www.wetterkontor.de/de/wetter/deutschland/monatswerte.asp)
About the weather change.
There are specific points.
But we can not download the data.
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#### [Oregon Geospatial Data](https://gbp-blm-egis.hub.arcgis.com/pages/oregon)