spatio-temporal analysis - Science topic

hello all, I have two queries: 1- I have random days multiple observations for 5 months, I need to aggregate these values on monthly basis. How can it be done? 2- No matter how much I change the parameters in vgmST my MSE and RMSE are really high (7 digits of a number).

I express my gratitude to you, Sir Andrew Paul McKenzie Pegman , for providing me with this valuable information.Any references you can provide would be greatly appreciated.

Looks to me that people use a wide variety of software tool chains ( https://scholar.google.com/scholar?hl=en&as_sdt=0%252C48&q=Spatio-temporal+Analysis+of+Herpetofaunal+software ). Usually my preference would be to use something similar to whichever Community of Practice is using, and / or what aligns with whatever GIS / statistical software you already are familiar with, if not, which is prevalent in your local academic or professional community so you have help nearby and close. And then other factors such as open source, etc. I say 'Tool chain' because it is often the case one uses a GIS for the data wrangling and clipping to the Area of Interest, etc., then might need some specialized algorithms in a package like R-Spatial, and then might have to write custom Python code in an Anaconda Notebook if you come up with your innovative algorithms.

Might be worth wile to use your own search terms in Google Scholar, my quick look showed 1100 papers on the topic, you don't have to look at all those just find ones that are in your domain to get some ideas.

Dear Emma E.M. Evers

Please refer to these articles since they might guide you in the correct track:

If you can bring all the information (ie both dependent and independent variables) into one Geographical layer then you can do a spatial regression. You may have to join the map layer that shows the geographical area of interest with tables containing the variables first. GWR, Geographically Weighted Regression has often been used for analyses.

Es útil y amigable el Q.GIS. Es facil de instalar y hay muchos casos.

If your are interested in good visualizations I recommend you to see this application: TerriStory.fr

That is an interesting question. KeyATM and Topic modeling allows for covariates. But I am not sure if they allow for spatial variables.

Dear Muhammad Alfahad

These blogs might be useful, have a look:

1. https://www.datamation.com/big-data/structured-vs-unstructured-data/

2. https://www.xplenty.com/blog/structured-vs-unstructured-data-key-differences/

3. https://www.formpl.us/blog/structured-unstructured-interview

4. https://www.geeksforgeeks.org/difference-between-structured-semi-structured-and-unstructured-data/

Kind Regards

Hi Ibrahim,

to get Landsat 8 TIRS band 10 and 11 you can follow the steps below:

1- to go https://earthexplorer.usgs.gov/

2- create your account

3- Enter your search criteria (place and date range)

4- Click on the Datasets tab and expend Landsat

5- Once you expend Landsat, click on the + sign to choose Landsat Collection 1

6- Expend Landsat Collection 1 and click on Landsat Collection 1-Level-1

7- Once Landsat Collection 1 Level-1 is expended, check the box of Landsat 8 OLI/TIRS C1Level-1

8-Optionally, you can click on the Additional Criteria to narrow down your search (cloud coverage percentage)

9- Click on the Results tab to see your search results

10- Download the data to your working folder and unzip it to extract band 10 and 11.

I hope that could help. Best of luck with your research.

Thank you Prof. Sengupta.

Well,

Time lag present between disease onset and usual time of diagnosis.

Accordingly, that depends on the choice of the variables that represent the characteristics of the land parcels and the precision of the data used, while someone concerns the selection of the most suitable functional form to the particular problem at hand. Regarding the precision of data, this is ensured by the tools that are used in the work for their retrieval, whereas their reliability is achieved by the sources from which they have been obtained.

Regards

For plankton biodiversity analysis, Shannon -Weaver index is the most popular index. You can measure it by using software like: R Srtatistix, Past etc.

Like you, I already identified plankton at genus level also find difficulties to do some statistical analysis. You can get technical help about using software from seniors or supervisor.

Thank you Kostis, I will have a look at the SpatioTemporal in R package, there is a recently issued tutorial.