We propose to conduct a tutorial on importing, distributing, indexing, querying, and updating a large real-world trajectory dataset in the DBMS Secondo. Participants having installed the system and extracted the dataset will be able to follow the tutorial actively.
{"title":"Proposal for a Tutorial on Distributed Trajectory Management in Secondo","authors":"Fabio Valdés, T. Behr, R. H. Güting","doi":"10.1145/3356394.3365590","DOIUrl":"https://doi.org/10.1145/3356394.3365590","url":null,"abstract":"We propose to conduct a tutorial on importing, distributing, indexing, querying, and updating a large real-world trajectory dataset in the DBMS Secondo. Participants having installed the system and extracted the dataset will be able to follow the tutorial actively.","PeriodicalId":330151,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125514726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This tutorial is expected to deliver a comprehensive study and hands-on tutorial of how GeoSpark incorporates Spark to uphold massive-scale spatial data. We also want this tutorial to serve as an introductory course that teaches the audience the basic building blocks in a scalable spatial data management system and the important design concerns based on our previous experience. We begin our tutorial with a background introduction of the characteristics of spatial data and the history of distributed data management systems. A follow-up section presents common approaches used by the practitioners to extend Spark and introduces the vital components in a generic spatial data management system. The third section gives a hands-on live demonstration to illustrate the basic steps of performing geospatial data analytics using GeoSpark.
{"title":"Spatial Data Wrangling with GeoSpark: A Step by Step Tutorial","authors":"Jia Yu, Mohamed Sarwat","doi":"10.1145/3356394.3365589","DOIUrl":"https://doi.org/10.1145/3356394.3365589","url":null,"abstract":"This tutorial is expected to deliver a comprehensive study and hands-on tutorial of how GeoSpark incorporates Spark to uphold massive-scale spatial data. We also want this tutorial to serve as an introductory course that teaches the audience the basic building blocks in a scalable spatial data management system and the important design concerns based on our previous experience. We begin our tutorial with a background introduction of the characteristics of spatial data and the history of distributed data management systems. A follow-up section presents common approaches used by the practitioners to extend Spark and introduces the vital components in a generic spatial data management system. The third section gives a hands-on live demonstration to illustrate the basic steps of performing geospatial data analytics using GeoSpark.","PeriodicalId":330151,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126846268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Flexible, scalable services on massive geo data receive much attention today. In particular, the OGC Web Coverage Service (WCS) and Web Coverage Processing Service (WCPS) standards suites have established a best practice for versatile access and analytics on spatio-temporal "Big Data". In this workshop, the participants get a deep dive into the standards, covering both data and service models, as well as the latest advancements in the APIs used to access the services. Hands on exercises will be used throughout the workshop to exemplify and cement the concepts.
{"title":"rasdaman: Open Standards Based Scalable Datacube Analytics","authors":"Vlad Merticariu, P. Baumann","doi":"10.1145/3356394.3365591","DOIUrl":"https://doi.org/10.1145/3356394.3365591","url":null,"abstract":"Flexible, scalable services on massive geo data receive much attention today. In particular, the OGC Web Coverage Service (WCS) and Web Coverage Processing Service (WCPS) standards suites have established a best practice for versatile access and analytics on spatio-temporal \"Big Data\". In this workshop, the participants get a deep dive into the standards, covering both data and service models, as well as the latest advancements in the APIs used to access the services. Hands on exercises will be used throughout the workshop to exemplify and cement the concepts.","PeriodicalId":330151,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128351628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This workshop will cover: • How to display a WebGL enabled 3D map in your browser using HERE harp.gl • How to efficiently store and tile large amounts of geo data for data visualization use cases with HERE XYZ • How to calculate and display an isoline polygon with the HERE Routing API
{"title":"Interactive 3D Web Mapping with HERE Technologies: A hands-on workshop with HERE Developer APIs","authors":"Dylan Babbs, C. Barnes","doi":"10.1145/3356394.3365588","DOIUrl":"https://doi.org/10.1145/3356394.3365588","url":null,"abstract":"This workshop will cover: • How to display a WebGL enabled 3D map in your browser using HERE harp.gl • How to efficiently store and tile large amounts of geo data for data visualization use cases with HERE XYZ • How to calculate and display an isoline polygon with the HERE Routing API","PeriodicalId":330151,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123652848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this workshop, the participants get a deep dive to spatial computing on top of the Boost Geometry Library in C++. The workshop will highlight core concepts of generic programming, give hands-on experience in the area of OGC geometry and range and nearest neighbor queries based on arbitrary combinations of OGC and custom predicates. Finally, the tutorial gives an outlook how easy it has become to interface with covering libraries including GDAL, Python, and OpenGL.
{"title":"GIS++","authors":"Martin Werner","doi":"10.1145/3356394.3365587","DOIUrl":"https://doi.org/10.1145/3356394.3365587","url":null,"abstract":"In this workshop, the participants get a deep dive to spatial computing on top of the Boost Geometry Library in C++. The workshop will highlight core concepts of generic programming, give hands-on experience in the area of OGC geometry and range and nearest neighbor queries based on arbitrary combinations of OGC and custom predicates. Finally, the tutorial gives an outlook how easy it has become to interface with covering libraries including GDAL, Python, and OpenGL.","PeriodicalId":330151,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128316656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We demonstrate the rasdaman ("raster data manager") scalable datacube engine in a series of multi-dimensional live scenarios of spatio-temporal datacube analytics, distributed processing in federations, as well as simple, rapid construction of datacubes.
{"title":"rasdaman","authors":"Vlad Merticariu, Peter Baumann","doi":"10.1145/3274895.3274988","DOIUrl":"https://doi.org/10.1145/3274895.3274988","url":null,"abstract":"We demonstrate the rasdaman (\"raster data manager\") scalable datacube engine in a series of multi-dimensional live scenarios of spatio-temporal datacube analytics, distributed processing in federations, as well as simple, rapid construction of datacubes.","PeriodicalId":330151,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126299095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs","authors":"","doi":"10.1145/3356394","DOIUrl":"https://doi.org/10.1145/3356394","url":null,"abstract":"","PeriodicalId":330151,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131715637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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