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Big Data Computing for Geospatial Applications
Big Data Computing for Geospatial Applications
Autore Li Zhenlong
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (222 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato task
workflow
geospatial problem-solving
knowledge base
social media
big data
fine-grained emotion classification
spatio-temporal analysis
hazard mitigation
missing road
city blocks
topology
big mobile navigation trajectory data
geographic knowledge representation
geographic knowledge graph
formalization
GeoKG
overlay analysis
shape complexity
massive data
cloud
parallel computing
geovisual analytics
machine learning
smart card data
transit corridor
mobility community
trip
CA Markov
land-use change prediction
Hadoop
MapReduce
cloud computing
ETL
ELT
sensor data
IoT
geospatial big data
climate science
metadata
web cataloging service
big geospatial data
geospatial cyberinfrastructure
topographic surface
terrain modeling
global terrain dataset
geospatial computing
cyberGIS
GeoAI
spatial thinking
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557664803321
Li Zhenlong  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Open GIS
Open GIS
Autore Xia Jizhe
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (348 pages)
Altri autori (Persone) HuangQunying
GuiZhipeng
TuWei
ISBN 3-031-41748-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Foreword -- Acknowledgments -- Contents -- Part I: Open GIS Fundamentals -- Chapter 1: Open GIS in the New Big Data Era -- 1.1 Open GIS -- 1.2 The Components of Open GIS -- 1.3 Challenges and Vision -- 1.3.1 Documentation -- 1.3.2 Software Vulnerability -- 1.3.3 Peer-Review Mechanism -- 1.3.4 National Security and User Privacy -- 1.3.5 Education of Open GIS Intellectual Property Protection -- 1.4 Conclusion -- References -- Chapter 2: Open Data -- 2.1 Open-Source Dataset -- 2.1.1 Search Engine -- 2.1.2 GitHub -- 2.1.3 Official Release -- 2.1.3.1 USGS -- 2.1.3.2 Data.gov -- 2.1.3.3 Census -- 2.1.3.4 NOAA -- 2.1.3.5 NASA -- 2.1.3.6 GEOSS -- 2.1.3.7 FGDC -- 2.1.4 Research Institute -- 2.1.4.1 Microsoft Research -- 2.1.4.2 Tianchi -- 2.1.5 Open Data from Universities -- 2.1.6 Data from Companies and Foundations -- 2.1.6.1 ESRI -- 2.1.6.2 OpenStreetMap -- 2.1.6.3 Safegraph -- 2.1.7 Big Data Competitions -- 2.2 Conclusion -- Part II: Open Databases -- Chapter 3: Open-Source Data Formats and Open Services -- 3.1 Introduction -- 3.2 Spatial Data Formats -- 3.2.1 Vector Data Formats/Standards -- 3.2.1.1 Shapefile -- 3.2.1.2 GML -- 3.2.1.3 KML -- 3.2.1.4 GeoJSON -- 3.2.1.5 TopoJSON -- 3.2.1.6 GeoPackage -- 3.2.1.7 WKT -- 3.2.1.8 SVG -- 3.2.1.9 OSM -- 3.2.2 Raster Vector Data Formats/Standards -- 3.2.2.1 ESRI Grid -- 3.2.2.2 GeoTIFF -- 3.2.2.3 NetCDF -- 3.2.2.4 Hierarchical Data Format -- 3.2.2.5 GDAL Virtual Format -- 3.3 Open Spatial Data Services -- 3.3.1 OGC -- 3.3.1.1 WFS -- 3.3.1.2 WCS -- 3.3.1.3 WMS -- 3.3.1.4 WPS -- 3.3.1.5 CSW -- 3.3.2 ISO -- 3.3.2.1 ISO 19142 -- 3.3.2.2 ISO 19128 -- 3.4 Open Data Web Server -- 3.4.1 GeoServer -- 3.4.2 MapServer -- 3.5 Conclusion -- Exercise: Data Service -- Part I: Lab Instruction -- Login GeoServer and Functions Preview -- Preview Data Examples Provided by GeoServer -- Create Workspace.
Create Data Storage -- Add Data to Data Storage -- Data Publishing -- Data Preview and Service Access -- Part II: Lab Exercises (60 Points in Total) -- Assignment 1: Raster Data Publishing (45 pts) -- Assignment 2: Open Data Publishing (15 pts) -- Bibliography -- Chapter 4: Database Fundamentals -- 4.1 Database Concept -- 4.2 Database Elements -- 4.2.1 Data Model -- 4.2.2 Schemas, Instances, and Database Status -- 4.3 Database Design and Implementation -- 4.3.1 Conceptual Design with Entity-Relationship Model -- 4.3.2 Logical Design with Relational Model -- 4.4 Structured Query Language -- 4.4.1 DDL -- 4.4.1.1 Create Statements -- 4.4.1.2 Alter Statements -- 4.4.2 DML -- 4.5 Conclusion -- Exercise: SQL -- Part I: Lab Instruction -- Database Preparation -- SQL Queries -- Simple Selection -- Summarization and Aggregation -- Nested Queries (Subqueries) -- Joins (Retrieving Information from Multiple Tables) -- Insert, Update, and Delete -- Part II: Lab Exercises (60 points in total) -- Simple Selection (13 pts) -- Summarization and Aggregation (18 pts) -- Nested Queries (Subqueries) -- Joins (Retrieving Information from Multiple Tables) (9 pts) -- Insert, Update, and Delete (10 pts) -- Exercise: SQL (Answers) -- Simple Selection -- Summarization and Aggregation -- Nested Queries (Subqueries) -- Joins (Retrieving Information from Multiple Tables) -- Insert, Update, and Delete -- References -- Chapter 5: Relational Databases -- 5.1 Introduction -- 5.2 PostgreSQL/PostGIS -- 5.2.1 Interface -- 5.2.2 PostGIS Fundamentals -- 5.2.3 PostGIS Spatial Functions and Queries -- 5.3 MySQL/Spatial -- 5.4 MariaDB -- 5.5 SQLite/SpatiaLite -- 5.6 Conclusion -- Exercise: Spatial Query -- Part I: Lab Instruction -- Creating a Spatial Database -- Restoring the Database with the pgAdmin Console -- Geometries -- Metadata Tables -- Spatial Query -- Spatial Relationship.
Spatial Join -- Useful SQL -- Part II: Lab Exercises (60 Points in Total) -- Exercise: Spatial Query (Answers) -- References -- Chapter 6: NoSQL Databases -- 6.1 The NoSQL Database -- 6.2 NoSQL Database Types -- 6.2.1 Key Value Stores -- 6.2.2 Document Stores -- 6.2.3 Column Stores -- 6.2.4 Graph Stores -- 6.3 An Example: MongoDB -- 6.3.1 MongoDB Structure -- 6.3.2 Creating and Deleting a Database and Collection -- 6.3.3 Import and Export -- 6.3.4 Create, Read, Update, Delete (CRUD) -- 6.3.5 MongoDB Spatial -- 6.4 Conclusion -- Exercise: MongoDB -- Installing MongoDB -- Creating a Database and Collections -- Adding Documents to Collections -- Exploring the Documents -- Querying MongoDB Databases -- Querying Fields in Documents -- Querying Nested Documents -- Spatial Queries -- Intersection -- Inclusion -- Proximity -- Exercise: MongoDB (Answers) -- References -- Part III: Open Spatial Data Processing and Analysis -- Chapter 7: Open Vector Analysis -- 7.1 Introduction -- 7.2 Open Vector Analysis Tools and Software -- 7.2.1 GRASS -- 7.2.2 QGIS -- 7.2.3 GeoDa -- 7.2.4 Whitebox GAT -- 7.2.5 gVSIG -- 7.2.6 MapWindow -- 7.3 Conclusion -- Exercise: QGIS -- The Spatial Evaluation of the Highway Expansion -- The Shortest Path Analysis -- References -- Chapter 8: Open Raster Data Analysis -- 8.1 Introduction -- 8.2 Open Raster Analysis Software -- 8.2.1 GDAL -- 8.2.2 WhiteboxTools -- 8.2.3 Raster Frames -- 8.2.4 Google Earth Engine -- 8.2.5 GEE Map -- 8.2.6 Leafmap -- 8.3 Conclusion -- Exercise: GEE -- Calculating the NDVI with Sentinel-2 Images -- Urban Land Cover Classification Using Random Forest with Sentinel-2 Images -- Time-Series Urban Extent Extraction and Visualization Through Satellite Night-Time Light Imagery -- References -- Chapter 9: Programming Libraries, APIs, and Tools -- 9.1 Introduction -- 9.2 Geoprocessing with GeoPandas.
9.2.1 Installation -- 9.2.2 Reading and Writing Vector Files -- 9.2.3 Creating the Shapefile -- 9.2.4 Basic Spatial Operation -- 9.2.5 Advanced Spatial Operation -- 9.3 Vector Analysis Using GeoPandas -- 9.3.1 Spatial Buffer Analysis -- 9.3.2 Spatial Overlap Analysis -- 9.3.3 Spatial Statistical Analysis -- 9.4 Geoprocessing with GDAL -- 9.4.1 Reading Raster Data -- 9.4.2 Creating and Writing Raster Files -- 9.4.3 Converting Raster to Vector -- 9.4.4 Converting Vector to Raster -- 9.5 Raster Analysis with GDAL -- 9.5.1 Contour -- 9.5.2 Histograms -- 9.5.3 Raster Reclassify -- 9.5.4 Network Analysis with OSMnx -- 9.6 Conclusion -- Exercise: GDAL and GeoPandas -- Part I: Practice -- Remote Sensing Image Classification Using GDAL -- Hotspot Detection with GeoPandas -- Part II: Problem Solving (60 Points in Total) -- References -- Part IV: Open Mapping and Visualization -- Chapter 10: Desktop-Based Mapping and Visualization Tools -- 10.1 Introduction -- 10.2 2D -- 10.2.1 QGIS -- 10.2.2 uDig -- 10.2.3 SAGA GIS -- 10.3 3D -- 10.3.1 Google Earth -- 10.3.2 NASA WorldWind -- 10.3.3 Microsoft WorldWide Telescope (WWT) -- 10.4 Conclusion -- Exercise: Desktop Application Lab -- Exercise for uDig -- Exercise for Google Earth -- References -- Chapter 11: Web-Based Mapping and Visualization Packages -- 11.1 Introduction -- 11.2 2D -- 11.2.1 Google Maps API -- 11.2.2 OpenLayers -- 11.2.3 MapBox -- 11.2.4 Leaflet -- 11.2.5 D3.js -- 11.2.6 Plotly.js -- 11.2.7 ECharts -- 11.3 3D -- 11.3.1 Google Earth 3D -- 11.3.2 Cesium -- 11.3.3 Three.js -- 11.3.4 Deck.gl -- 11.3.5 Kepler.js -- 11.4 Conclusion -- Exercise: Web Application Lab -- Trajectory Origin-Destination (OD) Visualization Using Kepler.gl -- 3D Visualization Using CESIUM -- References -- Part V: Applications -- Chapter 12: Open GIS for Public Health -- 12.1 Introduction -- 12.2 Spatial Analysis.
12.3 Spatial Modeling -- 12.4 Mapping and GIS Systems -- 12.5 Conclusion -- Exercise: Disease Modelling -- References -- Chapter 13: Open GIS for Disasters -- 13.1 Introduction -- 13.2 State-of-the-Art Work and Practice -- 13.2.1 Mitigation -- 13.2.2 Preparedness -- 13.2.3 Response -- 13.2.4 Recovery -- 13.3 Conclusion -- Exercise: Developing a Web Application for Disaster Management -- References -- Index.
Record Nr. UNINA-9910865282803321
Xia Jizhe  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Spatial cloud computing : a practical approach / / Chaowei Yang, Qunying Huang
Spatial cloud computing : a practical approach / / Chaowei Yang, Qunying Huang
Autore Yang Chaowei
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2014]
Descrizione fisica 1 online resource (352 p.)
Disciplina 004.67/82
004.6782
Soggetto topico Geospatial data
Cloud computing
ISBN 0-429-16788-1
1-4665-9316-4
Classificazione COM032000COM043000TEC036000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto part I. Introduction to cloud computing for geosciences -- part II. Deploying applications onto cloud services -- part III. Cloud-enabling geoscience projects -- part IV. Cloud computing status and readiness -- part V. Future directions.
Record Nr. UNINA-9910787575403321
Yang Chaowei  
Boca Raton : , : CRC Press, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Spatial cloud computing : a practical approach / / Chaowei Yang, Qunying Huang
Spatial cloud computing : a practical approach / / Chaowei Yang, Qunying Huang
Autore Yang Chaowei
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2014]
Descrizione fisica 1 online resource (352 p.)
Disciplina 004.67/82
004.6782
Soggetto topico Geospatial data
Cloud computing
ISBN 0-429-16788-1
1-4665-9316-4
Classificazione COM032000COM043000TEC036000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto part I. Introduction to cloud computing for geosciences -- part II. Deploying applications onto cloud services -- part III. Cloud-enabling geoscience projects -- part IV. Cloud computing status and readiness -- part V. Future directions.
Record Nr. UNINA-9910800200903321
Yang Chaowei  
Boca Raton : , : CRC Press, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Spatial cloud computing : a practical approach / / Chaowei Yang, Qunying Huang
Spatial cloud computing : a practical approach / / Chaowei Yang, Qunying Huang
Autore Yang Chaowei
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2014]
Descrizione fisica 1 online resource (352 p.)
Disciplina 004.67/82
004.6782
Soggetto topico Geospatial data
Cloud computing
ISBN 0-429-16788-1
1-4665-9316-4
Classificazione COM032000COM043000TEC036000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto part I. Introduction to cloud computing for geosciences -- part II. Deploying applications onto cloud services -- part III. Cloud-enabling geoscience projects -- part IV. Cloud computing status and readiness -- part V. Future directions.
Record Nr. UNINA-9910822830803321
Yang Chaowei  
Boca Raton : , : CRC Press, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui