Geospatial Data Science Quick Start Guide Book [PDF] Download

Download the fantastic book titled Geospatial Data Science Quick Start Guide written by Abdishakur Hassan, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Geospatial Data Science Quick Start Guide", which was released on 31 May 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Geospatial Data Science Quick Start Guide by Abdishakur Hassan PDF

Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems Key FeaturesManipulate location-based data and create intelligent geospatial data modelsBuild effective location recommendation systems used by popular companies such as UberA hands-on guide to help you consume spatial data and parallelize GIS operations effectivelyBook Description Data scientists, who have access to vast data streams, are a bit myopic when it comes to intrinsic and extrinsic location-based data and are missing out on the intelligence it can provide to their models. This book demonstrates effective techniques for using the power of data science and geospatial intelligence to build effective, intelligent data models that make use of location-based data to give useful predictions and analyses. This book begins with a quick overview of the fundamentals of location-based data and how techniques such as Exploratory Data Analysis can be applied to it. We then delve into spatial operations such as computing distances, areas, extents, centroids, buffer polygons, intersecting geometries, geocoding, and more, which adds additional context to location data. Moving ahead, you will learn how to quickly build and deploy a geo-fencing system using Python. Lastly, you will learn how to leverage geospatial analysis techniques in popular recommendation systems such as collaborative filtering and location-based recommendations, and more. By the end of the book, you will be a rockstar when it comes to performing geospatial analysis with ease. What you will learnLearn how companies now use location dataSet up your Python environment and install Python geospatial packagesVisualize spatial data as graphsExtract geometry from spatial dataPerform spatial regression from scratchBuild web applications which dynamically references geospatial dataWho this book is for Data Scientists who would like to leverage location-based data and want to use location-based intelligence in their data models will find this book useful. This book is also for GIS developers who wish to incorporate data analysis in their projects. Knowledge of Python programming and some basic understanding of data analysis are all you need to get the most out of this book.


Detail About Geospatial Data Science Quick Start Guide PDF

  • Author : Abdishakur Hassan
  • Publisher : Packt Publishing Ltd
  • Genre : Computers
  • Total Pages : 165 pages
  • ISBN : 1789809339
  • PDF File Size : 21,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Geospatial Data Science Quick Start Guide

Geospatial Data Science Quick Start Guide
  • Publisher : Packt Publishing Ltd
  • File Size : 29,8 Mb
  • Release Date : 31 May 2019
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Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems Key FeaturesManipulate location-based data and create intelligent geospatial data modelsBuild effective location recommendation systems used

Applied Spatial Data Analysis with R

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  • Publisher : Springer Science & Business Media
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  • Release Date : 21 June 2013
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Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is

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  • File Size : 54,5 Mb
  • Release Date : 22 March 2019
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Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has

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QGIS Quick Start Guide
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  • File Size : 47,9 Mb
  • Release Date : 31 January 2019
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Manipulate and analyze network data with the power of Python and NetworkX Key FeaturesUnderstand the terminology and basic concepts of network scienceLeverage the power of Python and NetworkX to represent

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  • Publisher : SAGE
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  • Release Date : 02 December 2020
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We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying

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  • Publisher : CRC Press
  • File Size : 52,7 Mb
  • Release Date : 18 August 2021
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Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of

A Subject Guide to Quality Web Sites

A Subject Guide to Quality Web Sites
  • Publisher : Scarecrow Press
  • File Size : 20,5 Mb
  • Release Date : 17 July 2010
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The Web is always moving, always changing. As some Web sites come, others go, but the most effective sites have been well established. A Subject Guide to Quality Web Sites