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1 Overviewandmotivating data. 2 Introduction to R and RStudio. 3 Scripts and reproducibleworkflows. 4 Data structures. 5 Functions and functional programming. 6 Data summary and analysiswith tidyverse. 7 Manipulating and summarizing datawith dplyr. 8 Tidying datawith tidyr. 9 Creating graphicswith ggplot2. 10 Preliminary definitions and concepts. 11 Basic statistical concepts. 12 Estimating forest parameters. 13 Sampling designs and estimation in forest inventory. 15 Stratified sampling. 16 Estimation using covariates. 17 Cluster sampling. 18 Multistage sampling. |