Thank you for the tutorial, can you show me how the pixel by pixel classification is done for the following input data, 1. I have NDVI, EVI ,SAVI and SAMI image for my basin and I want to make pixel by pixel classification to 4 clusters so, if you are familiar for this help me
Amazing, please continue making videos. Edit: I looked at your tutorials on your website, you are extremely talented. I never learned so much from a single source. Thanks for making these.
Thank you so much for these wisdom nutshell videos shared! 216 is the half of 432 // 432x432=c in miles per second. // 216*864=c // This are glimpses of the investigation to publish soon! Cheers from Mexico! <3
Thank you for the video! Can you please explain the step as.numeric(current_image[[1]][1, ,]), what does Index [1, , ] do? I cant find an explanation anywhere.
Hello, is there a command where you put a function (example: f(x) ) and R shows you the indefinite integration? I know how to see result of a definite integration, my problem is with indefinite‘s and for example with derivation you can put in a function and it shows you the derivate, I wonder if there’s a similar way but for integration. Please, let me know, thanks a lot!
Scale them using image_scale(current_image, "400x300") or whatever dimensions you want. Sorry, I know this is 3 years too late and you must already have figured out the answer by now. Maybe someone else may benefit.
Hi, could you please make a video teaching how to do Monte Carlo simulation to find the mean and confidence interval? I have some observations of fishing net sizes (27) and I would like to do MC simulation (ex. using 1000 interactions) to estimate a mean value and confidence interval that I can use to estimate the swept area by these nets. Using a fixed boat speed and haul time, I would like to use the mean net size (and intervals) to calculate swept area scenarios. Here are the net size observations: c(20.6, 16.4, 17.5, 23.2, 23.0, 18.6, 20.6, 13.7, 23.2, 27.4, 19.4, 19.4, 18.5, 17.5, 24.8, 26.0, 17.4, 21.9, 26.7, 24.3, 26.6, 24.5, 24.7, 22.2, 20.0, 20.8, 23.9) Any help is very welcome. Cheers