Analyze the thermal environment using random forest, LightGBM, and multi-linear regression, identify the main issues faced by street...

Week 13: Wrapping up my journey of learning R programming. Consolidated my knowledge and practiced with various exercises. Feeling...

Week 12: Made significant progress in R programming. Explored advanced topics like data mining and machine learning. Excited to dive...

Week 11: Continued learning R. Explored statistical analysis using R. Learned about hypothesis testing and regression analysis. Excited...

Week 10: Further developed my skills in R. Explored data cleaning and manipulation techniques. Started working with larger datasets....

Week 09: Progressed in R programming. Explored data visualization with ggplot2. Enjoyed creating informative and visually appealing...

Week 08: Continued learning R. Focused on functions and control structures. Starting to understand how to write efficient and reusable...

Week 07: Started learning R programming. Explored basic syntax and data types. Excited to dive deeper into data manipulation and analysis.

深圳10米分辨率树高 var canopy_height = ee.Image('users/nlang/ETH_GlobalCanopyHeight_2020_10m_v1') .clip(table); print('canopy_height',...

栅格快速采样 library(sf) library(terra) library(pbapply) # 设置terra包使用的并行处理器核心数 terraOptions(parallel=4) # 选择文件夹 tif_folder <-...

两两线性回归 # 加载必要的库 library(ggplot2) library(gridExtra) # 读取CSV文件 df <- read.csv("C:/Users/11030/Desktop/HKtestno0.csv", header = TRUE) #...

消除异常值 library(raster) library(pbapply) # 设置工作文件夹路径 work_dir <- "D:/Rlab/thesis/sr900hklcz.tif_mw1" setwd(work_dir) # 列出文件夹中所有的 .tif 文件...

PEARSON # 加载所需的包 library(ggplot2) # 假设你的数据已经存储在CSV文件中，变量名分别为Var1和Var2 # 读取CSV文件 data <- read.csv("C:/Users/11030/Desktop/HKtestno0.csv")...

GEE Coding: // Workflow of building and publishing a GEE App // USGS US LANDCOVER DATA var nlcd = ee.ImageCollection("USGS/NLCD_RELEASES/...