Global land-use and land-cover (LULC) data under historical, current, and future climatic conditions for ecologists- [Tainá Rocha]

[Tai-Rocha]

Global land-use and land-cover (LULC) data under historical, current, and future climatic conditions for ecologists.

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Project Lead: Tainá Rocha (Tai-Rocha https://github.com/Tai-Rocha ) 💁‍♀️

Mentor: Bruno Eleres Soares & Yvan Le Bras 👨 👨

Welcome to OLS-2! This issue will be used to track your project and progress during the program. Please use this checklist over the next few weeks as you start Open Life Science program 🎉.

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Week 1 (31 August - 4 September 2020): Meet your mentor!

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This issue is here to help you keep track of work as you start Open Life Science program. Please refer to the OLS-2 Syllabus for more detailed weekly notes and assignments past week 4.

[Tai-Rocha]

First version of vison statment:

There are several Land-use Land-cover (LULC ) datasets available for ecological studies at a global scale under current conditions. However, there is an important gap of LULC data covering periods further back into the past (older than 1970) and mainly projections of LULC changes into the future. Land-Use Harmonized project (https://luh.umd.edu/) provides LULC data from 850 to 2300 available in NetCDF format, that is unfriendly for most ecologists that need this data. I want to convert this data and make it available in order to make it useful and readily usable, at a global scale, for the ecologist with standard GIS skills.

Although the data is available, i.e , open, the file format (netCDF) limits the use of this data. If it is possible redistributed in other common formats , and I can do this via open R code and deposited this transformed data in open database, I improve the accessibility of the data and help others researchers that need this data

Despite of I have one project that it has beginning middle and end., I hope acquire skills to participate and contribute in a community (science platafform or something like that) that share analysis, data and so on.

Hemingway editor version of vison statement (for this project) :

There are several Land-use Land-cover (LULC ) datasets available for ecological studies. There is large gap of LULC data covering periods along past (older than 1970). Projections of LULC changes into the future is other significant gap. Land-Use Harmonized project (https://luh.umd.edu/) provides LULC data from 850 to 2300. This data is available in NetCDF format, that is for most ecologists that need this data. I will convert this data and make it available to make it useful and usable. at a global scale, for the ecologist with standard GIS skills.

Although the data is available, i.e , open, the file format (netCDF) limits the use of this data. If it is possible redistributed in other common formats. I can do this via open R code and deposited this transformed data in open database. I improve the accessibility of the data and help others researchers that need this data
I have one project that it has beginning middle and end. But I hope to acquire skills and contribute in a community (science platafform or something like that) that share analysis, data and so on.

[LauraCarter]

This sounds great @Tai-Rocha! It sounds like you have a really good idea of the data you have and what you want to do with it. Are you already part of a network of ecologists that will be using this data, and do you know how they will use it? It sounds like that would be a great place to start building a community, both to work on analysis and also to make the data available in ways that will be most useful.

[Tai-Rocha]

Hi @LauraCarter , actually the idea to converting this data get up due to my necessity to use the data in macroecology studies. Other laboratorys that I colaborate also need this data, most of these need this in post processes of ecological niche models analysis, like me 🤓 But there is other set of analysis that can be made with this data.

Thanks

[Tai-Rocha]

My open canvas :

https://docs.google.com/presentation/d/1oiGfEsn5a8ZwA_uU0MeaQGp8LCRf4kmcwHlNADeNaKU/edit#slide=id.p

https://drive.google.com/drive/folders/1ZBT7mm-DdXugNEgOtg47mNBgcLCBGVQY?usp=sharing

[EKaroune]

Hi Taina, You have a great project idea. I have been looking at your open canvas and I think you make your problem one or two short bullet points so it is clearer. Something like - poor formatted land-use and land-cover data that hinders reuse.
Also I'm not sure how many ecologists are using R at the moment. It is definitely not wide spread. You might want to think about formatting the data as csv files? then they can be converted into any format?
I am a palaeoecologist so maybe I can help you in some way with your project?
I also think that you need to advertise that you have done this as it will be an amazing resource and you want people to use it. So maybe you can add this into you open canvas - promoting data using twitter/blogs, etc?

[Tai-Rocha]

Hi @EKaroune thanks for feedback =) . I will organize my open canvas, my problem section it was too longer and can be more short and direct.

It's good idea make it as csv file too. Actually, I use R to generate this new formats. But who want to get the data does not need to know about R, just download the the tif file (like a photo). Do you know other people that use land use data as csv format?

[Tai-Rocha]

Link for my project repo in github

https://github.com/Tai-Rocha/OLS_2_Tai-Rocha

[yvanlebras]

Thank you Tainá, thank you Emma! Amazing to see you both exchanging here on the Tainá project! Considering the netcdf issue, one possibility can be to propose users going to user friendly web platform to deal with netcdf. For example, by chance I collaborate with climate colleagues to create this Galaxy tool to read info from content of a netcdf file https://ecology.usegalaxy.eu/root?tool_id=toolshed.g2.bx.psu.edu/repos/ecology/xarray_metadata_info/xarray_metadata_info/0.15.1 and this tool to extract variables in a more friendly format https://ecology.usegalaxy.eu/root?tool_id=toolshed.g2.bx.psu.edu/repos/ecology/xarray_select/xarray_select/0.15.1 , without having programming knowledge. Here is just an example of one way to deal with the issue you mention Tainá, don't hesitate to comment, criticize or not consider it ;)

[yvanlebras]

For a real analytics history example, you can look here: https://ecology.usegalaxy.eu/u/ylebras/h/test-netcdf-xarray

[KateSimpson]

Hi @Tai-Rocha
This sounds really useful.
I noticed in your comment above that other researchers already need the data you are working with. Could you add something about growing an open-source community from this starting place, once you share the re-formatted data?
Will be keen to hear more as your project goes on - land use seems a really important research area.
Kate :)

[malvikasharan]

@all-contributors please add @Tai-Rocha for idea and content.

[allcontributors]

@malvikasharan

I've put up a pull request to add @Tai-Rocha! 🎉