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Data Processing & Preparation

This guide provides information about various tools and methods for data processing as well as links to additional learning resources.

Tutorials

Introduction to Parallel Computing with R
Web course to get started with parallel computing with R
Parallel Processing using R
SPEED UP YOUR CODE: PARALLEL PROCESSING WITH MULTIDPLYR
When processing time is long, parallel processing could result in a significant improvement. Let’s check out how to parallelie your R code using the multidplyr package.

Step-by-Step: Lidar Processing - Building Footprints
This tutorial shows one approach of how to extract buildings footprint and heights from Lidar and minimize manual editions.
Join
Join the information of spreadsheet with a table of attribute of a shapefile using a primary key.

Statistics
This book is an ongoing effort to make this basic knowledge available for free.
R Graphics
This chapter provides the most basic information to get started producing
plots in R. First of all, there is a three-line code example that
demonstrates the fundamental steps involved in producing a plot. This
is followed by a series of figures to demonstrate the range of images
that R can produce.
Introduction to R
Notes on R: A Programming Environment for Data Analysis and Graphics
Version 3.4.3 (2017-11-30)

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