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Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2 - Tapa blanda
Sinopsis
Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language
Key Features
- Understand the basics of R and QGIS to work with GIS and remote sensing data
- Learn to manage, manipulate, and analyze spatial data using R and QGIS
- Apply machine learning algorithms to geospatial data using R and QGIS
Book Description
Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.
This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You'll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you'll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.
Moving on, you'll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You'll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You'll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you'll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms.
By reading this book, you'll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.
What you will learn
- Install R and QGIS
- Get familiar with the basics of R programming and QGIS
- Visualize quantitative and qualitative data to create maps
- Find out the basics of raster data and how to use them in R and QGIS
- Perform geoprocessing tasks and automate them using the graphical modeler of QGIS
- Apply different machine learning algorithms on satellite data for landslide susceptibility mapping and prediction
Who this book is for:
This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Shammunul Islam is a consulting spatial data scientist at the Institute of Remote Sensing, Jahangirnagar University, and a senior consultant at ERI, Bangladesh. He develops applications for automating geospatial and statistical analysis in different domains such as in the fields of the environment, climate, and socio-economy. He also consults as a survey statistician and provides corporate training on data science to businesses. He holds an MA in Climate and Society from Columbia University, an MA in development studies, and a BSc in statistics.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
Publicado por
Packt Publishing, 2018
ISBN 10: 1788991672
ISBN 13: 9781788991674
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Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.34. Nº de ref. del artículo: G1788991672I4N00
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Hands-On Geospatial Analysis with R and QGIS
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Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
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Hands-On Geospatial Analysis with R and QGIS
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Hands-On Geospatial Analysis with R and Qgis (Paperback or Softback)
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Packt Publishing 11/30/2018, 2018
ISBN 10: 1788991672
ISBN 13: 9781788991674
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Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
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Hands-On Geospatial Analysis with R and QGIS
Publicado por
Packt Publishing, Limited, 2018
ISBN 10: 1788991672
ISBN 13: 9781788991674
Nuevo
Tapa blanda
Librería: Majestic Books, Hounslow, Reino Unido
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Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
Publicado por
Packt Publishing Limited, 2018
ISBN 10: 1788991672
ISBN 13: 9781788991674
Nuevo
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Hands-On Geospatial Analysis with R and QGIS : A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming languageKey FeaturesUnderstand the basics of R and QGIS to work with GIS and remote sensing dataLearn to manage, manipulate, and analyze spatial data using R and QGISApply machine learning algorithms to geospatial data using R and QGISBook DescriptionManaging spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You'll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you'll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.Moving on, you'll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You'll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You'll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you'll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms.By reading this book, you'll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.What you will learnInstall R and QGISGet familiar with the basics of R programming and QGISVisualize quantitative and qualitative data to create mapsFind out the basics of raster data and how to use them in R and QGISPerform geoprocessing tasks and automate them using the graphical modeler of QGISApply different machine learning algorithms on satellite data for landslide susceptibility mapping and predictionWho this book is for:¿This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary. Nº de ref. del artículo: 9781788991674
Cantidad disponible: 1 disponibles
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HandsOn Geospatial Analysis with R and QGIS A beginners guide to manipulating managing and analyzing spatial data using R and QGIS 322
Publicado por
Packt Publishing, 2018
ISBN 10: 1788991672
ISBN 13: 9781788991674
Antiguo o usado
Tapa blanda
Librería: Buchpark, Maidenhead, Berkshire, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Condición: Very Good. Condition: Very Good, Pages: 354, Size: 23.5x19.1x2. Nº de ref. del artículo: 33337521/23
Cantidad disponible: 1 disponibles