Book Image

Learning Geospatial Analysis with Python - Third Edition

By : Joel Lawhead
Book Image

Learning Geospatial Analysis with Python - Third Edition

By: Joel Lawhead

Overview of this book

Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.
Table of Contents (15 chapters)
Free Chapter
1
Section 1: The History and the Present of the Industry
5
Section 2: Geospatial Analysis Concepts
10
Section 3: Practical Geospatial Processing Techniques

Limitations of real-time data

The term real-time data typically means near-real-time. Some tracking devices capture real-time data and may update as often as several times a second. But the limitations of the infrastructure that broadcasts that data may constrain the output to every 10 seconds or longer. Weather radar is a perfect example. A Doppler Weather Radar (DWR) sweeps continuously but data is typically available online every five minutes. But given the contrast with traditional geospatial data updates, a refresh of a few minutes is real-time enough. Limitations can be summarized as follows:

  • Network bandwidth limitations restricting data size
  • Network latency limiting the data update frequency
  • Availability of the data source due to restrictions such as battery life
  • Lack of quality control due to data being instantly available to consumers
  • Security vulnerabilities due to...