Learning R for geospatial analysis

Learning R for geospatial analysis

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Bibliografiske detaljer
Hovedforfatter:	Dorman, Michael (19..-....; programmateur). (Auteur)
Format:	E-Book
Sprog:	Anglais
Udgivet:	Birmingham : Packt Publishing, 2014.
Autres localisations:	Voir dans le Sudoc
Online adgang:	Accès à l'E-book

Lignende værker

Learning Geospatial Analysis with Python
af: Lawhead, Joel.
Udgivet: (2013)

Python geospatial analysis cookbook
af: Diener, Michael.
Udgivet: (2015)

Learning Geospatial Analysis with Python : Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing
af: Lawhead, Joel.

Geospatial Analysis with SQL : A hands-on guide to performing geospatial analysis by unlocking the syntax of spatial SQL
af: Mcclain, Bonny P..

Python geospatial analysis essentials
af: Westra, Erik.
Udgivet: (2015)

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
af: Islam, Shammunul (19..-....).
Udgivet: (2018)

Mastering geospatial analysis with Python : explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
af: Tomas, Silas.
Udgivet: (2018)

Python geospatial development
af: Westra, Erik.
Udgivet: (2016)

Principles of Geospatial Surveying
af: Allan, A. L..
Udgivet: (2007)

Applied Geospatial Data Science with Python : Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
af: Jordan, David S..

Learn Emotion Analysis with R : Perform Sentiment Assessments, Extract Emotions, and Learn NLP Techniques Using R and Shiny
af: Majumdar, Partha.

Geospatial Data Science Quick Start Guide : Effective techniques for performing smarter geospatial analysis using location intelligence
af: Hassan, Abdishakur.
Udgivet: (2019)

Geospatial Data Analytics on AWS : Discover how to manage and analyze geospatial data in the cloud
af: Bateman, Scott.

Geospatial development by example with Python
af: Carreira, Pablo.
Udgivet: (2016)

Python geospatial development essentials
af: Bahgat, Karim.
Udgivet: (2015)

Learning Linux binary analysis
af: O'Neill, Ryan.
Udgivet: (2016)

Mastering geospatial development with QGIS 3.x : an in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python
Udgivet: (2019)

Data Analysis with R
af: Fischetti, Tony.
Udgivet: (2015)

Mastering data analysis with R
af: Daróczi, Gergely (19..-....).
Udgivet: (2015)

Learning Malware analysis : explore the concepts, tools, and techniques to analyze and investigate Windows malware
af: Monnappa, K.A..
Udgivet: (2018)

R data analysis cookbook
af: Ganguly, Kuntal.
Udgivet: (2017)

Statistical analysis with R for dummies
af: Schmuller, Joseph (1947-....).

Practical machine learning for data analysis using Python
af: Subasi, Abdulhamit (19..-....).
Udgivet: (2020)

Hands-On Time Series Analysis with R : Hands-On Time Series Analysis with R
af: Krispin, Rami.
Udgivet: (2019)

Data analysis with R : a comprehensive guide to manipulating, analyzing, and visualizing data in R
af: Fischetti, Tony.
Udgivet: (2018)

Intelligent data analysis for e-Learning : enhancing security and trustworthiness in online learning systems
af: Miguel, Jorge.
Udgivet: (2016)

Hands-On Deep Learning with R : A practical guide to designing, building, and improving neural network models using R
af: Pawlus, Michael.
Udgivet: (2020)

Regression analysis with R : design and develop statistical nodes to identify unique relationships within data at scale
af: Ciaburro, Giuseppe (19..-....).
Udgivet: (2018)

Statistical and Machine Learning Approaches for Network Analysis
af: Dehmer, Matthias (1968-....).
Udgivet: (2012)

Learning RStudio for R statistical computing : learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE
af: Van der Loo, Mark P.J..
Udgivet: (2012)

Hands-On Exploratory Data Analysis with R : Become an expert in exploratory data analysis using R packages
af: Datar, Radhika.
Udgivet: (2019)

An R and S-PLUS companion to multivariate analysis
af: Everitt, Brian Sidney, 1944-
Udgivet: (2005)

Functional data analysis with R and MATLAB
af: Ramsay, James O.
Udgivet: (2009)

Practical machine learning in R
af: Nwanganga, Fred (19..-....).

Learning R programming
af: Ren, Kun.
Udgivet: (2016)

Restaurer l'audition avec des implants
af: Dorman, Michael.
Udgivet: (2005)

R for Data Analysis in easy steps : Covers R Programming essentials
af: McGrath, Mike (1956-....).

Machine learning in bio-signal analysis and diagnostic imaging
af: Dey, Nilanjan (1984-....).
Udgivet: (2018)

Machine Learning for Emotion Analysis in Python : Build AI-powered tools for analyzing emotion using natural language processing and machine learning
af: Ramsay, Allan.

Data analysis and graphics using R : an example-based approach
af: Maindonald, John Hilary, 1937-
Udgivet: (2007)

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