30m pixel resolution vs 1km WorldClim resolution

[Dayanara Jacome]

Hello Everyone,

I have a question, I worked with a dem, precipitation and temperature at a resolution of 30m, but the climate information is an average precipitation and an average temperature, and I think It will be better to work with maximun and minimun temperetarure and precipitation, and the only data I found it has this information is WorldClim at a 1 km resolution, and I have my DEM at 30m resolution, and I am going to modelate a bird with10 samples in an area of 34.024,76 km2.

So I thought if I use a 1 km resolution I wouldnt have the best result in my model, that is why I wanted to do with 30 m resolution. If anyone can advise me on what to do or if it is good to use worldclim in such small piece of territory? Or if is there another data at a better resolution?

Please please some guidance :D

[Dimitris Poursanidis]

Forget to resample 1km climate data down to 30m - reason for paper rejection (as i usually do) :)

Try to calculate geodiversity data as surrogates to climate/

>->->->->->->->->->->->->->->->-

Dimitris Poursanidis, Ph.D

http://rslab.gr/

http://www.terrasolutions.eu

Google Scholar

ResearchGate

ORDIC

Remote Sensing in Ecology and Conservation - Editorial Board

The latest papers !!! 

1) https://www.frontiersin.org/articles/10.3389/fmars.2017.00347/abstract

2) http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0187143

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[Dayanara Jacome]

Dear Dimitris,

Thank you for your answer, Please, if it is possible, can you show me how to calculate geodivrsity data as surrogates to climate? Sorry, I dont know how to do it. :(

2018-05-18 12:21 GMT-05:00 Dimitris Poursanidis <dpours...@gmail.com>:

Forget to resample 1km climate data down to 30m - reason for paper rejection (as i usually do) :)

Try to calculate geodiversity data as surrogates to climate/

>->->->->->->->->->->->->->->->-

Dimitris Poursanidis, Ph.D

http://rslab.gr/

http://www.terrasolutions.eu

Google Scholar

ResearchGate

ORDIC

Remote Sensing in Ecology and Conservation - Editorial Board

The latest papers !!! 

1) https://www.frontiersin.org/articles/10.3389/fmars.2017.00347/abstract

2) http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0187143

On Fri, 18 May 2018 at 19:39, Dayanara Jacome <dayanar...@gmail.com> wrote:

Hello Everyone,

I have a question, I worked with a dem, precipitation and temperature at a resolution of 30m, but the climate information is an average precipitation and an average temperature, and I think It will be better to work with maximun and minimun temperetarure and precipitation, and the only data I found it has this information is WorldClim at a 1 km resolution, and I have my DEM at 30m resolution, and I am going to modelate a bird with10 samples in an area of 34.024,76 km2.

So I thought if I use a 1 km resolution I wouldnt have the best result in my model, that is why I wanted to do with 30 m resolution. If anyone can advise me on what to do or if it is good to use worldclim in such small piece of territory? Or if is there another data at a better resolution?

Please please some guidance :D

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[Jamie M. Kass]

Unless you do some kind of complicated spatial regression, you need to resample your fine-res data (30 m) to the coarse-res data (1 km). You will lose some resolution, but unless you know what you’re doing, downsampling will likely result in incorrect results.

Jamie Kass
PhD Candidate
City College of NY

[Милош Поповић]

I had some remote sensing data in 25m resolution and a forest species. I made two models in 1km and 25m resolution and both were visually the same rwgarding D vale of prediction similarity. However, 25m model perfectly detected forest fragmentation and gave very realistic prediction and in this case it was better to use high resolution layers. In most cases resampling to 1km is safest option, but for some particular studies you can use higher resolution. Just take care if the variables are categorical or numerical and use apropriate resampling tehnique. Resampling any categorical variable with i.e. bilinear algorythm will make a mess.

All the best,

Miloš

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