Book description
Geospatial data, or data with location information, is generated in huge volumes every day by billions of mobile phones, IoT sensors, drones, nanosatellites, and many other sources in an unending stream. This practical ebook introduces you to the landscape of tools and methods for making sense of all that data, and shows you how to apply geospatial analytics to a variety of issues, large and small.
Authors Aurelia Moser, Jon Bruner, and Bill Day provide a complete picture of the geospatial analysis options available, including low-scale commercial desktop GIS tools, medium-scale options such as PostGIS and Lucene-based searching, and true big data solutions built on technologies such as Hadoop. You’ll learn when it makes sense to move from one type of solution to the next, taking increased costs and complexity into account.
- Explore the structure of basic webmaps, and the challenges and constraints involved when working with geo data
- Dive into low- to medium-scale mapping tools for use in backend and frontend web development
- Focus on tools for robust medium-scale geospatial projects that don’t quite justify a big data solution
- Learn about innovative platforms and software packages for solving issues of processing and storage of large-scale data
- Examine geodata analysis use cases, including disaster relief, urban planning, and agriculture and environmental monitoring
Table of contents
- 1. An Overview of Geospatial Analytics
- 2. Core Concepts: Key Issues and Extreme Overgeneralizations
- 3. Getting Started with Map Tools and Types
- 4. Mapping Data, More Tools, and Analysis
- 5. Innovations: Platforms, IoT, and Mathematics
- 6. Big Data Analytics and Systems of Scale
- 7. Case Studies
Product information
- Title: Geospatial Data and Analysis
- Author(s):
- Release date: February 2017
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491940556
You might also like
book
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. …
book
Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to …
audiobook
The Design of Everyday Things
First, businesses discovered quality as a key competitive edge; next came science. Now, Donald A. Norman, …
book
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. …