Visualize Temperature with R

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  • เผยแพร่เมื่อ 18 ธ.ค. 2024

ความคิดเห็น • 14

  • @MatthiasFeist-de
    @MatthiasFeist-de หลายเดือนก่อน +2

    Awesome video! thanks a lot for it.
    As a suggestion for a new video/project: I'd be super interested in calculating the urban heat island effect from remote sensing data :)

    • @milos-makes-maps
      @milos-makes-maps  หลายเดือนก่อน +1

      Sounds like a great idea! I'll add it to my to-do list 😉

  • @estiequealam3344
    @estiequealam3344 หลายเดือนก่อน +2

    great video! as a agriculture background I want to see you creating some remote sensed based map which related to agriculture. There is lot of data on CDS. But sometime the data bot fetched. Hope you can provide a solution and a great video on like vegetation index, leaf area index and more.

    • @milos-makes-maps
      @milos-makes-maps  หลายเดือนก่อน

      Thanks! I'll keep that topic in mind. The agricultural data is a topic worth considering for my tutorials

  • @bhavya031
    @bhavya031 หลายเดือนก่อน +1

    Great stuff as usual! Can you suggest which resources are being most used by R and rayshader? I checked, and they don’t have GPU support, so should I get more RAM or CPU power for faster output? As always, I love watching your videos. You’re making things accessible to people, and the impact you’re having is amazing. I always appreciate people who make things easier for others.

    • @milos-makes-maps
      @milos-makes-maps  หลายเดือนก่อน

      Thank you so much for your kind words! I'm glad to hear that you find the videos helpful. Regarding your question about resources for R and rayshader, it's true that they currently don't have GPU support. Generally, more RAM can help with handling larger datasets, while a faster CPU can speed up computations. However, the best option can vary depending on your specific needs.
      For more detailed guidance, I recommend posting this excellent question in the rayshader GitHub repository (github.com/tylermorganwall/rayshader). The community there is incredibly knowledgeable and supportive, and they can provide insights tailored to your situation.

  • @efdalkaya
    @efdalkaya หลายเดือนก่อน +2

    Thank you for video. When i calculate covariates_ls, I get a error below
    "Error: ! unable to find an inherited method for function 'varnames' for signature 'x = "NULL"'
    Hide Traceback
    x
    1. \-KrigR::CovariateSetup(...)
    2. \-terra::varnames(Covariates)
    3. \-methods (local) ``(``, ``, ``)
    How can i solve the problem?

    • @milos-makes-maps
      @milos-makes-maps  หลายเดือนก่อน

      Hi, it looks like the error you're encountering is due to the varnames function not being able to find an appropriate method for the input Covariates, which is NULL. This often happens when the input data is not correctly specified or missing. Are you replicating my analysis or trying out something else? Where does the error occur in the code? Have you checked if you successfully downloaded the ERA% data in the previous step?

    • @incanberra
      @incanberra หลายเดือนก่อน

      Same problem for me

    • @incanberra
      @incanberra หลายเดือนก่อน

      @@milos-makes-maps I have the same error. I am using your code from the Github. Error occurs after line 82

  • @incanberra
    @incanberra หลายเดือนก่อน

    Using your code at line 82 I get error - Error: unable to find an inherited method for function ‘varnames’ for signature ‘x = "NULL"’
    I cant figure out why.
    Thanks for the videos

    • @milos-makes-maps
      @milos-makes-maps  หลายเดือนก่อน

      That's strange! Did you follow all the steps from the video:
      - register with both ECMWF and CDS
      - download the latest KrigR package
      - used your credentials
      - downloaded the data to your local drive?

  • @sabers8537
    @sabers8537 หลายเดือนก่อน

    Is there any way of obtaining a free API key for the ggmap r package?

    • @milos-makes-maps
      @milos-makes-maps  หลายเดือนก่อน

      From ggmap readme page (the first search result on Google):
      "Stadia Maps offers map tiles in several styles, including updated tiles from Stamen Design. An API key is required, but no credit card is necessary to sign up and there is a free tier for non-commercial use. Once you have your API key, invoke the registration function: register_stadiamaps("YOUR-API-KEY", write = FALSE). Note that setting write = TRUE will update your ~/.Renviron file by replacing/adding the relevant line. If you use the former, know that you’ll need to re-do it every time you reset R."
      cran.r-project.org/web/packages/ggmap/readme/README.html