Hassan / Vijayaraghavan Geospatial Data Science Quick Start Guide

Effective techniques for performing smarter geospatial analysis using location intelligence
1. Auflage 2019
ISBN: 978-1-78980-933-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 170 Seiten

No detailed description available for "Geospatial Data Science Quick Start Guide".

Autoren/Hrsg.

Hassan, Abdishakur

Vijayaraghavan, Jayakrishnan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - Introducing Location Intelligence
- Consuming Location Data Like a Data Scientist
- Performing Spatial Operations Like a Pro
- Making Sense of Humongous Location Datasets
- Nudging Check-Ins with Geofences
- Let's Build a Routing Engine
- Getting Location Recommender Systems

Über Autor(innen)

Hassan Abdishakur:

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.Vijayaraghavan Jayakrishnan:

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.