更新时间:2021-06-10 18:45:04
coverpage
Title Page
Packt Upsell
Why subscribe?
Packt.com
Contributors
About the author
About the reviewers
Packt is searching for authors like you
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Get in touch
Reviews
Setting Up R and QGIS Environments for Geospatial Tasks
Installing R
Basic data types and data structures in R
Basic data types in R
Variable
Data structures in R
Vectors
Basic operations with vector
Matrix
Array
Data frames
Lists
Factor
Looping functions and apply family in R
Looping in R
Functions in R
Apply family – lapply sapply apply tapply
apply
lapply
sapply
tapply
Plotting in R
Installing QGIS
Getting to know the QGIS environment
Summary
Questions
Further reading
Fundamentals of GIS Using R and QGIS
GIS in R
Data types in GIS
Vector data
Raster data
Plotting point data
Importing point data from Excel
Plotting lines and polygons data in R
Adding point data on polygon data
Changing projection system
Plotting quantitative and qualitative data on a map
Using tmap for easier plotting
Vector data in QGIS
Adding Excel data in QGIS using joins
Adding CSV layers in QGIS
Showing multiple labels using text chart diagrams
Adding a background map
Creating Geospatial Data
Getting data from the web
Downloading data from Natural Earth
Downloading data from DIVA-GIS
Downloading data from EarthExplorer
Creating vector data
Creating point data
Creating polygon data
Adding features to vector data
Digitizing a map
Working with databases
Creating a SpatiaLite database
Adding a shapefile to a database
Working with Geospatial Data
Working with vector data in R
Combining shapefiles in R
Clipping in R
Difference in R
Area calculation in R
Working with vector data in QGIS
Combining shapefiles
Converting vector data types
Polygons into lines
Lines into polygons
Clipping
Difference
Buffer
Intersection
Statistical summary of vector layers
Using field calculators for advanced field calculations
Remote Sensing Using R and QGIS