Verwandte Artikel zu Geospatial Data Science Quick Start Guide: Effective...

Geospatial Data Science Quick Start Guide: Effective techniques for performing smarter geospatial analysis using location intelligence - Softcover

 
9781789809411: Geospatial Data Science Quick Start Guide: Effective techniques for performing smarter geospatial analysis using location intelligence

Inhaltsangabe

Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems

Key Features

  • Manipulate location-based data and create intelligent geospatial data models
  • Build effective location recommendation systems used by popular companies such as Uber
  • A hands-on guide to help you consume spatial data and parallelize GIS operations effectively

Book 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 learn

  • Learn how companies now use location data
  • Set up your Python environment and install Python geospatial packages
  • Visualize spatial data as graphs
  • Extract geometry from spatial data
  • Perform spatial regression from scratch
  • Build web applications which dynamically references geospatial data

Who 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.

Table of Contents

  1. Introducing Location Intelligence
  2. Consuming Location Data Like a Data Scientist
  3. Performing Spatial Operations Like a Pro
  4. Making Sense of Humongous Location Datasets
  5. Nudging Check-Ins with Geofences
  6. Let's Build a Routing Engine
  7. Getting Location Recommender Systems

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorinnen und Autoren

Abdishakur Hassan is a geographic information systems (GIS) expert and consultant with over 5 years of experience working with UN Habitat. He holds an MSc in geoinformation science and earth observations. During his tenure as a GIS expert, Abdishakur has developed fully fledged GIS applications in the urban planning and land administration domains. He is interested in all things related to geospatial data science.

Jayakrishnan Vijayaraghavan is a geospatial data scientist, innovator, and author of a book titled ArcGIS for JavaScript developers. He currently resides in the San Francisco Bay Area and has over 8 years of work experience. He has built patented technologies and products in the geospatial domain and has coached teams on leveraging mapping and spatial analytics tools for solving pertinent business problems. He is adept at computational geometry, especially in graph networks and in geospatial inferencing. He is a DAAD scholar and a winner of the UN-Habitat special jury award. He is keen on developing intelligent and ubiquitous mapping systems by integrating ML and DL techniques with GIS. He is also a novelist and a certified UAV pilot.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Gebraucht kaufen

Zustand: Wie neu
Unread book in perfect condition...
Diesen Artikel anzeigen

EUR 16,92 für den Versand von USA nach Deutschland

Versandziele, Kosten & Dauer

EUR 0,58 für den Versand von USA nach Deutschland

Versandziele, Kosten & Dauer

Suchergebnisse für Geospatial Data Science Quick Start Guide: Effective...

Beispielbild für diese ISBN

Abdishakur Hassan
Verlag: Packt Publishing, 2019
ISBN 10: 178980941X ISBN 13: 9781789809411
Neu PAP
Print-on-Demand

Anbieter: PBShop.store US, Wood Dale, IL, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9781789809411

Verkäufer kontaktieren

Neu kaufen

EUR 37,89
Währung umrechnen
Versand: EUR 0,58
Von USA nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Hassan, Abdishakur; Vijayaraghavan, Jayakrishnan
Verlag: Packt Publishing, 2019
ISBN 10: 178980941X ISBN 13: 9781789809411
Neu Softcover

Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. In. Bestandsnummer des Verkäufers ria9781789809411_new

Verkäufer kontaktieren

Neu kaufen

EUR 33,16
Währung umrechnen
Versand: EUR 5,70
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Abdishakur Hassan
Verlag: Packt Publishing, 2019
ISBN 10: 178980941X ISBN 13: 9781789809411
Neu PAP
Print-on-Demand

Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9781789809411

Verkäufer kontaktieren

Neu kaufen

EUR 34,80
Währung umrechnen
Versand: EUR 4,44
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Hassan, Abdishakur|Vijayaraghavan, Jayakrishnan
Verlag: Packt Publishing, 2019
ISBN 10: 178980941X ISBN 13: 9781789809411
Neu Softcover

Anbieter: moluna, Greven, Deutschland

Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. This book will help you leverage the power of data analysis and apply it to location and geospatial data to gain interesting insights. It presents useful tools and location intelligence techniques in Python to implement geospatial analytics from scratch. Bestandsnummer des Verkäufers 448332339

Verkäufer kontaktieren

Neu kaufen

EUR 39,38
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Hassan, Abdishakur; Vijayaraghavan, Jayakrishnan
Verlag: Packt Publishing, 2019
ISBN 10: 178980941X ISBN 13: 9781789809411
Neu Softcover

Anbieter: California Books, Miami, FL, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers I-9781789809411

Verkäufer kontaktieren

Neu kaufen

EUR 32,26
Währung umrechnen
Versand: EUR 8,46
Von USA nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Hassan, Abdishakur
ISBN 10: 178980941X ISBN 13: 9781789809411
Neu Paperback or Softback

Anbieter: BargainBookStores, Grand Rapids, MI, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback or Softback. Zustand: New. Geospatial Data Science Quick Start Guide 0.67. Book. Bestandsnummer des Verkäufers BBS-9781789809411

Verkäufer kontaktieren

Neu kaufen

EUR 32,41
Währung umrechnen
Versand: EUR 10,58
Von USA nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: 5 verfügbar

In den Warenkorb

Foto des Verkäufers

Abdishakur Hassan, Jayakrishnan Vijayaraghavan
ISBN 10: 178980941X ISBN 13: 9781789809411
Neu Paperback

Anbieter: Rarewaves USA, OSWEGO, IL, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback. Zustand: New. Discover the power of location data to build effective, intelligent data models with Geospatial ecosystemsKey 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 DescriptionData 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 forData 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. Bestandsnummer des Verkäufers LU-9781789809411

Verkäufer kontaktieren

Neu kaufen

EUR 39,60
Währung umrechnen
Versand: EUR 3,39
Von USA nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Abdishakur Hassan, Jayakrishnan Vijayaraghavan
ISBN 10: 178980941X ISBN 13: 9781789809411
Neu Paperback

Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback. Zustand: New. Discover the power of location data to build effective, intelligent data models with Geospatial ecosystemsKey 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 DescriptionData 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 forData 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. Bestandsnummer des Verkäufers LU-9781789809411

Verkäufer kontaktieren

Neu kaufen

EUR 41,01
Währung umrechnen
Versand: EUR 2,29
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Jayakrishnan Vijayaraghavan
Verlag: Packt Publishing, 2019
ISBN 10: 178980941X ISBN 13: 9781789809411
Neu Taschenbuch
Print-on-Demand

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. Bestandsnummer des Verkäufers 9781789809411

Verkäufer kontaktieren

Neu kaufen

EUR 44,53
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Foto des Verkäufers

Abdishakur Hassan, Jayakrishnan Vijayaraghavan
ISBN 10: 178980941X ISBN 13: 9781789809411
Neu Paperback

Anbieter: Rarewaves USA United, OSWEGO, IL, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback. Zustand: New. Discover the power of location data to build effective, intelligent data models with Geospatial ecosystemsKey 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 DescriptionData 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 forData 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. Bestandsnummer des Verkäufers LU-9781789809411

Verkäufer kontaktieren

Neu kaufen

EUR 41,37
Währung umrechnen
Versand: EUR 3,39
Von USA nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Es gibt 9 weitere Exemplare dieses Buches

Alle Suchergebnisse ansehen