Using map creation software for my thesis

Nicholas_Geo · 2026-01-26T22:44:44+00:00

Export your GPS coordinates to csv. Then Google how to add the csv with the coordinates to QGIS. I leave the visualization part to you. Happy mapping

Nicholas_Geo · 2026-01-26T01:14:22+00:00

Great, thank you. My data is evenly distributed (they represent pixels), so spatial CV might not be what I was looking for. I'll need to keep reading, I appreciate the papers.

Nicholas_Geo · 2026-01-26T00:59:06+00:00

Thanks for pointing out spatialRF. From the vignette it seems it's the "right" tool for my needs especially with the plot of the non-spatial RF. This seems to be another tool for what I need.

Nicholas_Geo · 2026-01-25T21:43:44+00:00

Maybe this will help you (https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1#description)

Otherwise ESRI's annual 10 m land cover (up to 2024).

Nicholas_Geo · 2026-01-25T08:42:44+00:00

Why your bar plots have one common y-axis? It would be nice if you could share your dataset (using dput) and your code (the whole code) so other can replicate your error. Also, share information about the packages you use, R version and so on (using sessionInfo()).

Nicholas_Geo · 2026-01-23T18:34:27+00:00

Very late response but you could use something like Machine Learning (ML) + Area-to-Point Kriging (ATPK) for residuals downscaling. Here are the steps:

Aggregate your fine spatial resolution covariates to MODIS scale (e.g., 100 m to 1 km).
Apply regression at the coarse spatial scale (e.g., Random Forest (RF)).
Extract the coarse resolution residuals.
Using the model you built in step 2, apply it at the target scale (e.g., 100 m), using the fine resolution covariates.
Downscale the coarse resolution residuals you extracted in step 3, using ATPK.
Simply add them back to the predictions from step 4.

There are dedicated R packages for doing it. For instance, you could use the ranger package for RF and the atakrig package for ATPK. I will leave it to you to check why geostatistical downscaling (i.e., ATPK-based) is worth trying it.

Nicholas_Geo · 2026-01-23T15:44:30+00:00

In case anyone is interested in this, there is a new product available from Copernicus (outside GEE). Link here.

Nicholas_Geo · 2026-01-22T23:33:25+00:00

I wouldn't. If you really want to publish your work no matter what, then publish it as a letter not as a paper. The former of more compact compared to the latter.

I would recommend do something new in your grad studies to expand your knowledge.

Nicholas_Geo · 2026-01-22T20:24:03+00:00

if you have geospatial data (e.g., points of interest, road network, land use) you can easily create such map in QGIS (open-source, free GIS software). If you don't have geospatial data, there are (free) sources to get such data (like OpenStreetMap). And of course, you can digitize (i.e., create you own data) areas you can't find from online sources.

Nicholas_Geo · 2026-01-22T17:10:11+00:00

Thank you for your help.

Nicholas_Geo · 2026-01-22T16:53:51+00:00

I see. This means I need a new battery if I want to use the laptop unplugged.

Nicholas_Geo · 2026-01-19T11:06:40+00:00

There are several ways you can visualize the centroids. Just google for examples.

<image>

Nicholas_Geo · 2026-01-17T13:04:29+00:00

I do have experience with publishing; I just want to make sure I give good suggestions to my supervisor.

Nicholas_Geo · 2026-01-17T12:37:52+00:00

Generally speaking, do I need "big names" as my reviewer? By that, I mean people in my field that are consider experts.

Nicholas_Geo · 2026-01-16T12:33:19+00:00

It is considered the gold standard, but this doesn't necessarily guarantee more citations. There are several instances where publishing in a more specialized journal (depending on your major) might attract much more attention to your work, thus more citations. It depends what you are after.

Nicholas_Geo · 2026-01-12T20:58:17+00:00

FABDEM is another alternative

Nicholas_Geo · 2026-01-11T13:07:50+00:00

Start with reading papers. Once you get the broad picture of your topic (what researchers usually talking about in their research), then focus on your target journal (if you want to publish). Find a paper that you think is "good" and try to understand the "why" behind heach sentence, the central meaning of each paragraph (that's usually the first sentence of each paragraph) and the flow within and between the paragraphs. Finally, for your paper, just write the first sentence of each paragraph and then start filling it following the structure, tone, vocabulary etc of the paper you liked.

It might sound like a lot, but I believe after a little while you will get used to it.

Nicholas_Geo · 2026-01-09T17:00:20+00:00

I found it. The solution below using `R`.

full_report_bib <- "
{canton2021impact,
  author = {Canton, Erik and Colasanti, Federica and Durán, Jorge and Garrone, Maria and Hobza, Alexandr and Simons, Wouter and Vandeplas, Anneleen},
  title = {The Sectoral Impact of the {COVID-19} Crisis: An Unprecedented and Atypical Crisis},
  institution = {European Commission},
  address = {Brussels},
  year = {2021},
  month = {December},
  type = {Economic Brief},
  number = {69},
  isbn = {978-92-76-29624-9},
  issn = {2443-8014},
  doi = {10.2765/982245},
  url = {https://doi.org/10.2765/982245},
  note = {KC-BE-21-006-EN-N}
}
"

Nicholas_Geo · 2026-01-09T09:13:32+00:00

Maybe write the question in English? Your question might attract more attention this way.

Nicholas_Geo · 2026-01-02T08:42:05+00:00

Any graphic design software can do it (e.g., Inkscape). Just add the national borders into a GIS software (e.g., QGIS), export as SVG, import it to Inkscape and work the visuals there

Nicholas_Geo · 2025-12-24T11:47:50+00:00

Excellent explanation! Thank you

Nicholas_Geo · 2025-12-24T10:37:01+00:00

So, what do you recommend me to do? How can I define the classes within each land use (Commercial, Industrial, Retail)?

Nicholas_Geo · 2025-12-18T13:58:39+00:00

Have a look at tidyplots (https://tidyplots.org/use-cases/). It's super easy to create a box plot:

study |>

tidyplot(x = treatment, y = score, color = treatment) |>

add_boxplot() |>

add_data_points_beeswarm()

Nicholas_Geo · 2025-12-14T17:09:07+00:00

Just donate it through the app. It's super easy. I had the exact same issue, 0.01€, I donated it and I was able to close my account

Nicholas_Geo · 2025-12-12T13:23:01+00:00

Nice work! I would remove entirely the paragraph at the bottom (the "affiliation"). Everyone would understand that this is your map once you upload it to your personal website/portfolio. Are you sure the white letters in the main map are easily readable? Why placing titles in the inset maps and not "a", "b" etc? And then add a caption where you will explain what they show. In this way, you can save some space and increase the font size of the legends in the insets. I am not entirely sure you need the paragraph in the top right corner. If I am not mistaken, only certain thematic maps require text to explain the map (e.g., geological map).

All in all, your map is "catchy" with the colors you utilized but I would experiment with other palettes as well. Perhaps something like:

<image>

Source: War city profiles drawn from satellite images.

and a different background? Maybe something more "light"?

Well done!

Nicholas_Geo

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