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Author: Gang Pan
Publisher: Springer
ISBN: 9783030854614
Category : Computers
Languages : en
Pages : 253
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Book Description
This book constitutes the proceedings of the Second International Conference on Spatial Data and Intelligence, SpatialDI 2021, which was held during April 22-24, 2021 in Hangzhou, China. The 14 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 72 submissions. They are organized in the topical sections named: traffic management, data science, and city analysis.
Author: Gang Pan
Publisher: Springer
ISBN: 9783030854614
Category : Computers
Languages : en
Pages : 253
Get Book Here
Book Description
This book constitutes the proceedings of the Second International Conference on Spatial Data and Intelligence, SpatialDI 2021, which was held during April 22-24, 2021 in Hangzhou, China. The 14 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 72 submissions. They are organized in the topical sections named: traffic management, data science, and city analysis.
Author: Xiaofeng Meng
Publisher: Springer Nature
ISBN: 3030698734
Category : Computers
Languages : en
Pages : 296
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Book Description
This book constitutes the proceedings of the First International Conference on Spatial Data and Intelligence, SpatialDI 2020, which was held on May 8-9, 2020. The conference was planned to take place in Shenzhen, China, and changed to an online format due to the COVID-19 pandemic. The 21 full papers presented in this volume were carefully reviewed and selected from 50 submissions. They were organized in topical sections named: traffic management; data science; and visualization science.
Author: Xiaofeng Meng
Publisher: Springer Nature
ISBN: 9819729661
Category :
Languages : en
Pages : 364
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Book Description
Author: Gang Pan
Publisher: Springer Nature
ISBN: 3030854620
Category : Computers
Languages : en
Pages : 262
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Book Description
This book constitutes the proceedings of the Second International Conference on Spatial Data and Intelligence, SpatialDI 2021, which was held during April 22-24, 2021 in Hangzhou, China. The 14 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 72 submissions. They are organized in the topical sections named: traffic management, data science, and city analysis.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522580557
Category : Technology & Engineering
Languages : en
Pages : 1889
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Book Description
Decision makers, such as government officials, need to better understand human activity in order to make informed decisions. With the ability to measure and explore geographic space through the use of geospatial intelligence data sources including imagery and mapping data, they are better able to measure factors affecting the human population. As a broad field of study, geospatial research has applications in a variety of fields including military science, environmental science, civil engineering, and space exploration. Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications explores multidisciplinary applications of geographic information systems to describe, assess, and visually depict physical features and to gather data, information, and knowledge regarding human activity. Highlighting a range of topics such as geovisualization, spatial analysis, and landscape mapping, this multi-volume book is ideally designed for data scientists, engineers, government agencies, researchers, and graduate-level students in GIS programs.
Author: Daniel Ness
Publisher: Routledge
ISBN: 1317531175
Category : Education
Languages : en
Pages : 446
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Book Description
Spatial Intelligence examines public and professional conceptions of the relationships between thinking about spatial attributes and active engagement in spatially related constructions and designs. Even though children’s and adolescents’ spatial propensities in constructive activities parallel the skills needed by professionals in both established and emerging fields, spatial education is often missing from K–12 curricula and is easily impeded by teachers, parents, or other individuals who do not provide contexts in formalized settings, such as schools, to nurture its potential. This book bridges the gap by linking the natural spatial inclinations, interests, and proclivities of individuals from a variety of cultures with professional training and expertise in engineering, architecture, science, and mathematics. Educators will be better able to achieve the skills and awareness necessary to provide children and young adults with the vital opportunities inherent in spatial education.
Author: Eric Vaz
Publisher: Springer Nature
ISBN: 3030364798
Category : Business & Economics
Languages : en
Pages : 251
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Book Description
Regional Intelligence is an emerging field that leverages the lessons learned through decades of regional science. By merging spatial analysis with quantitative analytical techniques in the Anthropocene, this book contributes to the multidisciplinary understanding of regional issues. The locational aspects of regional paradigms are explored through various empirical studies that promote a rich and diversified understanding of regional issues concerning policy, governance, land use, and territorial decisions. Given its scope, the book will appeal to scholars and students of regional and spatial sciences and geography, as well as practitioners and decision makers engaged in regional planning and policymaking, looking for new methodological approaches that offer insights into sustainable development, regional prosperity, and livability. As a unique contribution, this book challenges the status quo on how complex spatial problems at an international level and at multiple scales can be comprehended.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309101492
Category : Political Science
Languages : en
Pages : 114
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Book Description
The National Geospatial-Intelligence Agency (NGA) provides geospatial intelligence (GEOINT) to support national security, both as a national intelligence and a combat support agency. In the post-9/11 world, the need for faster and more accurate geospatial intelligence is increasing. GEOINT uses imagery and geospatial data and information to provide knowledge for planning, decisions, and action. For example, data from satellites, pilotless aircraft and ground sensors are integrated with maps and other intelligence data to provide location information on a potential target. This report defines 12 hard problems in geospatial science that NGA must resolve in order to evolve their capabilities to meet future needs. Many of the hard research problems are related to integration of data collected from an ever-growing variety of sensors and non-spatial data sources, and analysis of spatial data collected during a sequence of time (spatio-temporal data). The report also suggests promising approaches in geospatial science and related disciplines for meeting these challenges. The results of this study are intended to help NGA prioritize geospatial science research directions.
Author: Abdishakur Hassan
Publisher: Packt Publishing Ltd
ISBN: 1789809339
Category : Computers
Languages : en
Pages : 165
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Book Description
Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems Key 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 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 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 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.
Author: Deren Li
Publisher: Springer
ISBN: 3662485389
Category : Computers
Languages : en
Pages : 329
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Book Description
· This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’.
