Big Data for Remote Sensing: Visualization, Analysis and Interpretation

Big Data for Remote Sensing: Visualization, Analysis and Interpretation
Author: Nilanjan Dey
Publisher: Springer
Total Pages: 163
Release: 2018-05-23
Genre: Science
ISBN: 3319899236

This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.

GIS and Big Data Visualization

GIS and Big Data Visualization
Author: Junghoon Ki
Publisher:
Total Pages: 0
Release: 2020
Genre: Electronic books
ISBN:

Geographic information system (GIS) has expanded its area of applications and services into various fields, from geo-positioning service to three dimensional demonstration and virtual reality. Big data analysis and its visualization tools boosters the capacity of GIS, especially in graphics and visual demonstration. In this chapter, I describe major traits of big data and its spatial analysis with visualization. And then I will find a linkage between big data and GIS. There are several GIS-based software and geo-web that deal with big data or similar scaled databases, such as ArcGIS, Google Earth, Google Map, Tableau, and InstantAtlas. For these software and websites are developed based on geography or location, they still have some limits in visualizing big data or persuading people with maps or graphics. I will search a way out of this limitation of GIS-based tools and show an alternative way to visualize big data and demonstrate thematic maps. This chapter will be a useful guide to lead GIS people into a new horizon of big data visualization.

Geo-Intelligence and Visualization through Big Data Trends

Geo-Intelligence and Visualization through Big Data Trends
Author: Bozkaya, Burçin
Publisher: IGI Global
Total Pages: 349
Release: 2015-08-19
Genre: Technology & Engineering
ISBN: 1466684666

The last decade has seen a tremendous increase in the volume of data collected from personal and professional sources. While there have been many computational approaches available for analyzing these datasets, there is also growing interest in visualizing and making sense of spatio-temporal data. Geo-Intelligence and Visualization through Big Data Trends provides an overview of recent developments, applications, and research on the topic of spatio-temporal big data analysis and visualization, as well as location intelligence and analytics. Focusing on emerging trends in this dynamic field, this publication is an innovative resource aimed at the scholarly and professional interests of academicians, practitioners, and students.

Geographical Data Science and Spatial Data Analysis

Geographical Data Science and Spatial Data Analysis
Author: Lex Comber
Publisher: SAGE
Total Pages: 460
Release: 2020-12-02
Genre: Science
ISBN: 1526485435

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 analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges. Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Big Data

Big Data
Author: Hassan A. Karimi
Publisher: CRC Press
Total Pages: 312
Release: 2014-02-18
Genre: Mathematics
ISBN: 1466586559

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data ef

Big Data Computing for Geospatial Applications

Big Data Computing for Geospatial Applications
Author: Zhenlong Li
Publisher: MDPI
Total Pages: 222
Release: 2020-11-23
Genre: Science
ISBN: 3039432443

The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.

Spatial Big Data, BIM and advanced GIS for Smart Transformation

Spatial Big Data, BIM and advanced GIS for Smart Transformation
Author: Sara Shirowzhan
Publisher: MDPI
Total Pages: 166
Release: 2020-12-02
Genre: Technology & Engineering
ISBN: 3039360302

This book covers a range of topics including selective technologies and algorithms that can potentially contribute to developing an intelligent environment and smarter cities. While the connectivity and efficiency of smart cities is important, the analysis of the impact of construction development and large projects in the city is crucial to decision and policy makers, before the project is approved. This book also presents an agenda for future investigations to address the need for advanced tools such as mobile scanners, Geospatial Artificial Intelligence, Unmanned Aerial Vehicles, Geospatial Augmented Reality apps, Light Detection, and Ranging in smart cities. Some of selected specific tools presented in this book are as a simulator for improving the smart parking practices by modelling drivers with activity plans, a bike optimization algorithm to increase the efficiency of bike stations, an agent-based model simulation of human mobility with the use of mobile phone datasets. In addition, this book describes the use of numerical methods to match the network demand and supply of bicycles, investigate the distribution of railways using different indicators, presents a novel algorithm of direction-aware continuous moving K-nearest neighbor queries in road networks, and presents an efficient staged evacuation planning algorithm for multi-exit buildings.

Data Visualization

Data Visualization
Author: Robert Grant
Publisher: CRC Press
Total Pages: 217
Release: 2018-12-07
Genre: Mathematics
ISBN: 135178174X

This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been. The ability to visualize data is now a skill in demand across business, government, NGOs and academia. Data Visualization: Charts, Maps, and Interactive Graphics gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data. Features: Focusses on concepts and ways of thinking about data rather than algebra or computer code. Features 17 short chapters that can be read in one sitting. Includes chapters on big data, statistical and machine learning models, visual perception, high-dimensional data, and maps and geographic data. Contains more than 125 visualizations, most created by the author. Supported by a website with all code for creating the visualizations, further reading, datasets and practical advice on crafting the images. Whether you are a student considering a career in data science, an analyst who wants to learn more about visualization, or the manager of a team working with data, this book will introduce you to a broad range of data visualization methods. Cover image: Landscape of Change uses data about sea level rise, glacier volume decline, increasing global temperatures, and the increasing use of fossil fuels. These data lines compose a landscape shaped by the changing climate, a world in which we are now living. Copyright © Jill Pelto (jillpelto.com).