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- Просмотров 14 569
Sokora
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Добавлен 21 янв 2022
This channel is created for training postgraduate students in data analysis software such as R, Matlab, and Python. Also, information important for the training such as advertisements will be uploaded.
Downloading CORDEX-Africa dataset#
This video shows how to download the CORDEX-Africa dataset from the DKRZ. Data on several climatic variables are available for both historical and RCPs (RCP2.6, 4.5, and 8.5). Data are available in #NetCDF file format.
#cordex #africa #netcdf
#cordex #africa #netcdf
Просмотров: 1 025
Видео
Extracting data for point locations from gridded climate datasets in #R #shorts
Просмотров 278Год назад
This video discusses how to extract time series data for particular locations and/or multiple locations from gridded rainfall, temperature, and other climatic variables. The geographic points of the locations can be collected either from google Maps or using a GPS device. TerraClimate dataset can be accessed at www.climatologylab.org/wget-terraclimate.html
Mendeley reference management software
Просмотров 56Год назад
Mendeley reference management software uses to manage, cite and add a bibliography to our scientific writings. It saves our time and energy. ruclips.net/video/bT923Iayzx0/видео.html
Plotting time series data in #R#software #sokora
Просмотров 2,3 тыс.Год назад
This video shows how to plot time series data in R with double-side y-axis values.
Chi square test in #r #software #sokora
Просмотров 216Год назад
This video shows how we can use the Chi-square test in R. This test is used to examine the association between two categorical variables.
Zotero refernce management #software #zotero #sokora
Просмотров 48Год назад
This software enables us to collect, manage and use reference materials in an easy way. It is easy and open-access software. It saves time, and energy while improving our accuracy. www.zotero.org/download/
Simple linear regression in #R #software #sokora
Просмотров 48Год назад
Simple linear regression shows a relationship between a single response (dependent) and predictor (independent) variables. The same formula will be used also for the multiple regression only adding predicting variables.
Circular barplot in #R#software #sokora
Просмотров 2,5 тыс.Год назад
This type of plot uses when we have a large number of bars than 12. I created hypothetical data for this plot but the same holds for the actual data, which we collect from different sources.
Getting recent shape files #r #software #sokora
Просмотров 24Год назад
This video clarifies us from where we can get recently updated shape files and other datasets for our analysis. The humanitarian data exchange website provides shape files and other csv and excel datasets which would be very important for various studies.
Likert scale in #R #software #sokora
Просмотров 4,4 тыс.Год назад
This video shows how we can nicely visualise data collected in likert scale. Likert scale can be measured in a scale of 3, 5 or 7.
Plotting multiple raster stacks in #R #software
Просмотров 520Год назад
This video discusses how we can plot multiple raster stacks in #R. We can download different spatial datasets freely available for #R through different packages such as the #raster package. I accessed long-term monthly average precipitation data from the Worlclim dataset, which provided data with a spatial resolution of 0.5, 2.5, 5, and 10. #Worlclim dataset www.worldclim.org/data/index.html. M...
Plotting raster file in #R
Просмотров 539Год назад
In R we can do different spatiotemporal analyses and format our files for the region of interest. In this video, I attempted to show how we can read, plot, set color, crop, and mask a single raster file to the area of interest and visualize it in R. If you are interested in learning more about spatiotemporal analysis in R would it be precipitation, temperature, NDVI, and other gridded datasets,...
Adding points on the map #R
Просмотров 6002 года назад
Adding points on the map using R programming. I provide a tutorial on R basics in the other videos. I also demonstrate how to use dplyr and ggplot to show data manipulation and data visualization. In the next videos, I will present how to plot basins, rivers, and other shape files. You can add to the comments if you have any.
Selecting and mapping shape files in #R
Просмотров 1932 года назад
Selecting and mapping shape files in #R
Creating a study area map in #R #software
Просмотров 1,1 тыс.2 года назад
Creating a study area map in #R #software
please, this site is not opening for is a change in th address
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Sir I have analysed 850 soil samples for different forms of soil acidity but I don't have any facility to prepare soil acidity map, so could you kindly help me to prepare the acidity map?
Do you have data points in excel or in any format?
could you share the complete code？
Please be aware that CORDEX data is not ready yet for CMIP6.
Thank you for this. Wondering how I can manually order variable names (the preQs)
you did great job, can you share the data and script
Hi, why I get the error "All items (columns) must have the same number of levels"?
This is the great video. please release videos on LULC classification by using R.
Thank you very much Please, is there any Cordex data for the sixth experimentCMIP6?
No, this is for RCPs but you can download CMIP6 here following more or less the similar procedure esgf-node.llnl.gov/projects/cmip6/
Why cant you show the full view of the coding?
that was because I'm using a small screen. I will add code to the description area
@@sokora5083 Why %>% is not working?
could not find the function %>%
@@andrewong772 Hi Andrew, install.package (tidyverse) to your R-studio.
@@sokora5083 Thank you, why don't you add the code right now?
Thank you very much 🙏🙏.
Thank you. But your codes are not visible enough, if you could please make it more visible
This really helped me! Thank you very much!
hi mark thankyou uploading this video. do you have video on Quantile mapping bias correction methods using R
Wawuu (patriotism)best sokora tutorial titles really underlined ideas
let <- letters[1:26] value <- sample(10:100, 26) df <- data.frame(let, value) library(ggplot2) ggplot(data = df, aes(x=let, y=value, fill=let))+ geom_bar(stat = "identity")+ theme_minimal()+ theme(legend.position = "none")+ coord_polar(start = 0)+ ylim(-50, 100)
very informative
Glad you think so!
You can comment anything you would like to improve and included in the next video.
You can comment what you would like to cover in the next video.
nice work dear Brother
Many many thanks
Dear, Dr. Markos, Thank you so much!
Thank you, dear.
Thank you too!
Thank you dear!
This is a good start. Try to start from the beginning by explaining what the working directory is, and the R studio interface, making it clear what every line of code means and what it is doing. Brilliant Markos.
You can also attend online training on via Zoom on Sunday between 4 - 6:00
You can add your questions here and I will consider them during the next tutorial.