Tour De FOSS4G Libraries, Desktop Apps, Databases, Servers, Web Clients, Catalogues, Distrubted Computing
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Development of an Extension of Geoserver for Handling 3D Spatial Data Hyung-Gyu Ryoo Pusan National University
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings Volume 17 Boston, USA Article 6 2017 Development of an extension of GeoServer for handling 3D spatial data Hyung-Gyu Ryoo Pusan National University Soojin Kim Pusan National University Joon-Seok Kim Pusan National University Ki-Joune Li Pusan National University Follow this and additional works at: https://scholarworks.umass.edu/foss4g Part of the Databases and Information Systems Commons Recommended Citation Ryoo, Hyung-Gyu; Kim, Soojin; Kim, Joon-Seok; and Li, Ki-Joune (2017) "Development of an extension of GeoServer for handling 3D spatial data," Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings: Vol. 17 , Article 6. DOI: https://doi.org/10.7275/R5ZK5DV5 Available at: https://scholarworks.umass.edu/foss4g/vol17/iss1/6 This Paper is brought to you for free and open access by ScholarWorks@UMass Amherst. It has been accepted for inclusion in Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings by an authorized editor of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. Development of an extension of GeoServer for handling 3D spatial data Optional Cover Page Acknowledgements This research was supported by a grant (14NSIP-B080144-01) from National Land Space Information Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government and BK21PLUS, Creative Human Resource Development Program for IT Convergence. This paper is available in Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings: https://scholarworks.umass.edu/foss4g/vol17/iss1/6 Development of an extension of GeoServer for handling 3D spatial data Hyung-Gyu Ryooa,∗, Soojin Kima, Joon-Seok Kima, Ki-Joune Lia aDepartment of Computer Science and Engineering, Pusan National University Abstract: Recently, several open source software tools such as CesiumJS and iTowns have been developed for dealing with 3-dimensional spatial data. -
The State of Open Source GIS
The State of Open Source GIS Prepared By: Paul Ramsey, Director Refractions Research Inc. Suite 300 – 1207 Douglas Street Victoria, BC, V8W-2E7 [email protected] Phone: (250) 383-3022 Fax: (250) 383-2140 Last Revised: September 15, 2007 TABLE OF CONTENTS 1 SUMMARY ...................................................................................................4 1.1 OPEN SOURCE ........................................................................................... 4 1.2 OPEN SOURCE GIS.................................................................................... 6 2 IMPLEMENTATION LANGUAGES ........................................................7 2.1 SURVEY OF ‘C’ PROJECTS ......................................................................... 8 2.1.1 Shared Libraries ............................................................................... 9 2.1.1.1 GDAL/OGR ...................................................................................9 2.1.1.2 Proj4 .............................................................................................11 2.1.1.3 GEOS ...........................................................................................13 2.1.1.4 Mapnik .........................................................................................14 2.1.1.5 FDO..............................................................................................15 2.1.2 Applications .................................................................................... 16 2.1.2.1 MapGuide Open Source...............................................................16 -
Gvsos: a New Client for Ogc® Sos Interface Standard
GVSOS: A NEW CLIENT FOR OGC® SOS INTERFACE STANDARD Alain Tamayo Fong i GVSOS: A NEW CLIENT FOR OGC® SOS INTERFACE STANDARD Dissertation supervised by PhD Joaquín Huerta PhD Fernando Bacao Laura Díaz March, 2009 ii ACKNOWLEDGEMENTS I would like to thank to professors Joaquin Huerta and Michael Gould for their support during every step of the Master Degree Program. I would also like to thanks the Erasmus Mundus Scholarship program for giving me the chance to be part of this wonderful experience. Last, to all my colleagues and friends, thank you for making this time together so pleasant. iii GVSOS: A NEW CLIENT FOR OGC® SOS INTERFACE STANDARD ABSTRACT The popularity of sensor networks has increased very fast recently. A major problem with these networks is achieving interoperability between different networks which are potentially built using different platforms. OGC’s specifications allow clients to access geospatial data without knowing the details about how this data is gathered or stored. Currently OGC is working on an initiative called Sensor Web Enablement (SWE), for specifying interoperability interfaces and metadata encodings that enable real‐time integration of heterogeneous sensor webs into the information infrastructure. In this work we present the implementation of gvSOS, a new module for the GIS gvSIG to connect to Sensor Observation Services (SOS). The SOS client module allows gvSIG users to interact with SOS servers, displaying the information gathered by sensors in a layer composed by features. We present the detailed software engineering development process followed to build the module. For each step of the process we specify the main obstacles found during the development such as, restrictions of the gvSIG architecture, inaccuracies in the OGC’s specifications, and a set of common problems found in current SOS servers implementations available on the Internet. -
(Iso19107) of the Open Geospatial Consortium
Technical Report A Java Implementation of the OpenGIS™ Feature Geometry Abstract Specification (ISO 19107 Spatial Schema) Sanjay Dominik Jena, Jackson Roehrig {[email protected], [email protected]} University of Applied Sciences Cologne Institute for Technology in the Tropics Version 0.1 July 2007 ABSTRACT The Open Geospatial Consortium’s (OGC) Feature Geometry Abstract Specification (ISO/TC211 19107) describes a geometric and topological data structure for two and three dimensional representations of vector data. GeoAPI, an OGC working group, defines inter- face APIs derived from the ISO 19107. GeoTools provides an open source Java code library, which implements (OGC) specifications in close collaboration with GeoAPI projects. This work describes a partial but serviceable implementation of the ISO 19107 specifi- cation and its corresponding GeoAPI interfaces considering previous implementations and related specifications. It is intended to be a first impulse to the GeoTools project towards a full implementation of the Feature Geometry Abstract Specification. It focuses on aspects of spatial operations, such as robustness, precision, persistence and performance. A JUnit Test Suite was developed to verify the compliance of the implementation with the GeoAPI. The ISO 19107 is discussed and proposals for improvement of the GeoAPI are presented. II © Copyright by Sanjay Dominik Jena and Jackson Roehrig 2007 ACKNOWLEDGMENTS Our appreciation goes to the whole of the GeoTools and GeoAPI communities, in par- ticular to Martin Desruisseaux, Bryce Nordgren, Jody Garnett and Graham Davis for their extensive support and several discussions, and to the JTS developers, the JTS developer mail- ing list and to those, who will make use of and continue the implementation accomplished in this work. -
Centre for Geo-Information Thesis Report GIRS-2018-06 Managing Big Geospatial Data with Apache Spark Msc Thesis Hector Muro Maur
Centre for Geo-Information Thesis Report GIRS-2018-06 Managing Big Geospatial Data with Apache Spark MSc Thesis Hector Muro Mauri March 2018 Managing Big Geospatial Data with Apache Spark MSc Thesis Hector Muro Mauri Registration number 920908592110 Supervisors: Dr Arend Ligtenberg Dr Ioannis Athanasiadis A thesis submitted in partial fulfillment of the degree of Master of Science at Wageningen University and Research Centre, The Netherlands. March 2018 Wageningen, The Netherlands Thesis code number: GRS80436 Thesis Report: GIRS 2018 06 Wageningen University and Research Centre Laboratory of Geo-Information Science and Remote Sensing Contents 1 Introduction 3 1.1 Introduction & Context.........................................3 1.2 Problem definition & Research questions................................5 1.3 Structure of the document........................................5 2 Methods & Tools 6 2.1 Methods..................................................6 2.2 Tools....................................................7 3 Tests Design & Definition 9 3.1 Functionality Test............................................9 3.2 Performance Benchmark Test...................................... 17 3.3 Use Case................................................. 19 4 Functionality Test Results 21 4.1 Magellan.................................................. 21 4.2 GeoPySpark................................................ 25 4.3 GeoSpark................................................. 28 4.4 GeoMesa................................................. 31 5 Results -
Client-Side Versus Server-Side Geoprocessing
CLIENT-SIDE VERSUS SERVER-SIDE GEOPROCESSING Benchmarking the performance of web browsers processing geospatial data using common GIS operations. by Erin L. Hamilton A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science (Cartography and Geographic Information Systems) at the UNIVERSITY OF WISCONSIN–MADISON 2014 i Acknowledgements The completion of this thesis could not have been accomplished without the help and support of many people. Thank you to Jim Burt for serving as my advisor. Your ability to see the big picture and ask hard questions made my work infinitely stronger. Your feedback on my drafts pushed me to produce my best work and I am thankful for that. Thank you to Qunying Huang and David Hart for serving on my committee. Your feedback on this thesis was much appreciated. More importantly, the support you provided me in improving my programming skills over the past three years enabled me to execute the technical pieces of this research. I am extremely grateful for that. Thank you to the members of the GIS group. The questions asked during my research progress presentations over the last year were significant in shaping and refining my work. Big thank you to the people in the Cartography Laboratory. Your guidance, support, and friendship were critical in keeping me moving forward. I especially want to thank Tanya Buckingham and Daniel Huffman for providing me with so much insightful perspective and advice along the way and Bill Buckingham for providing tremendously helpful recommendations on my writing. Thank you to my Mom and Dad for being my cheer team across the country. -
Handling Data Consistency Through Spatial Data Integrity Rules in Constraint Decision Tables
Handling Data Consistency through Spatial Data Integrity Rules in Constraint Decision Tables Fei Wang Vollständiger Abdruck von der Fakultät für Bauingenieur- und Vermessungswesen der Universität der Bundeswehr München zur Erlangung des akademischen Grades eines Doktor- Ingenieurs (Dr.-Ing.) genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr.-Ing. Wilhelm Caspary 1.Berichterstatter: Univ.-Prof. Dr.-Ing. Wolfgang Reinhardt 2.Berichterstatter: Univ.-Prof. Dr.-Ing. Anders Östman Diese Dissertation wurde am 31. Jan. 2008 bei der Universität der Bundeswehr münchen eingereicht. Tag der Mündlichen Prüfung: 13. Mai 2008 2 3 Abstract With the rapid development of the GIS world, spatial data are being increasingly shared, transformed, used and re-used. The quality of spatial data is put in a high priority because spatial data of inadequate quality is of little value to the GIS community. Several main components of spatial data quality were indentified by international standardization bodies such as ISO/TC 211, OGC and FGDC, which consists of seven usual quality elements: lineage, positional accuracy, attribute accuracy, semantic accuracy, temporal accuracy, logical consistency and completeness (two different names for similar aspects of quality are grouped in the same category). In this dissertation our work focuses on the data consistency issue of the spatial data quality components, which involves the logical consistency as well as semantic and temporal aspects. Due to complex geographic data characteristics, various data capture workflows and different data sources, the final large datasets often result in inconsistency, incompleteness and inaccuracy. To reduce spatial data inconsistency and provide users the data of adequate quality, the specification of spatial data consistency requirements should be explicitly described. -
The Decision Table Template for Geospatial Business Rules
The Decision Table Template For Geospatial Business Rules Alex Karman CTO and Co-Founder Revolutionary Machines, Inc. www.rev-mac.com San Jose, Oct 13-15, 2014 1 OpenRules Now Supports Spatial Rules • Leverages the popular JTS Topology Suite (“JTS”) • Supports the Egenhofer Relationships (“DE9-IM”) for 2D points, polygons and line strings – Contains, touches, crosses, overlaps, disjoint, etc. • Supports distance and area calculations; and ranking by distance or area • Supports aggregates (max/min) of spatial rules • Supports non-spatial mereological rules – Part of/comprises • Loads Geographic Markup Language (GML) from text files with a GeometryDatabaseBuilder utility Motivation • Last year, we used OpenRules to handle business rules related to security constraints and service level agreements in a data center management project. • This year, the customer asked us if OpenRules could manage fraud detection and privacy rules in a healthcare project in the same data center. • We looked at the problem domain and saw a large number of spatial rules. Spatial Business Rules Are Everywhere • Healthcare – Hospital Referral Region, Hospital Service Area, Hospital, Patient, Emergency Routes • Sales – Supplier and buyer territories, census block demographics • Utilities – Markets are usually defined geographically • Local government – Cadasters, zones, counties, municipalities Most Spatial Business Rules Only Require a Simple Vocabulary • Describe how simple points, polygons and lines interact • Describe distances between them • Describe “at least” or “no more than” rules (aggregate spatial rules) Most Spatial Business Rules Never Use Most GIS Features • Continuous field data – Weather, climate, netCDF, raster • Slope and aspect – Digital elevation model, bathymetry, viewshed • Topology – The shoreline borders the shore • Spatial statistics – Autocorrelation, Moran’s I, Geary’s C, etc. -
Architecting Location Intelligence Platforms Using Open-Source Components
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B4-2021 XXIV ISPRS Congress (2021 edition) ARCHITECTING LOCATION INTELLIGENCE PLATFORMS USING OPEN-SOURCE COMPONENTS A. BENAHMED DAHO 1, H. BEKHELIFI 1 1 TransformaTek, SARL (LLC), Ain Temouchent, Algeria - (ali.benahmeddaho, hatem.bekhelifi)@transformatek.dz Commission IV, WG IV/6 KEY WORDS: GIS, Cloud Architecture, Location intelligence, Agile approach, GeoNode, Source control. ABSTRACT: Location Intelligence is an emerging application of geospatial industry. It allows professionals from different business domains (finance, disaster management, retail, health) and with minimum expertise in GIS technologies to use efficiently many spatial analysis tools and algorithms to solve their day-to-day problems. One of the major characteristics of Location Intelligence is the use of multisource and alternative data either user ingested or directly available in the platform (by geo-enrichment). In this contribution we investigate the architectural challenges raised by the development of this kind of platforms, particularly in term of functionalities, use of open-source components, management practices, deployment on the Cloud and source code control. To validate our assumptions, we built a new platform, named “Geoweba”, based on the GeoNode Project and having as objective to disrupt the Algerian consulting market. The resulting platform is deployed on the internet and freely available for users. In this contribution we demonstrate that our development approach based on Agile principles and open-source components gives a good result, mainly in the early stages when just a Minimum Viable Product (MVP) is needed for market validation of the idea. 1. INTRODUCTION Location intelligence software, also called spatial intelligence Functioning software, is a business intelligence solution that provides location Sprint Deliverables analytics to identify the relationship between certain objects TODO 2-4 Weeks based on their physical locations. -
Maa-123.2441 GIS Software Development 4 Op 4 Op Data And
Maa-123.2441 GIS Software Development 4 op Data and databases 10/27/2013 Jari Reini GIS – in 4 categories •Categories based on competences – Data collection and management – Spatial data analysis – Software development – GIS Solutions • Today concentrating on data collection, management and analysis (and partly SW development) Jari Reini 10/27/2013 Architectural choices in GIS (simplified) Desktop Client-Server Internet Application Server Database Jari Reini Database 10/27/2013 Principles •Re-use, Keep it simple •Use COTS as much as possible –Less in-house development –Less maintenance –Already includes a lot of required functionality •For example –Storage: Oracle Spatial database –Editing: ESRI ArcGIS –Quality checking: Radius, JavaML, JTS –Product Creation: FME and own tools 10/27/2013 Architecture and flow Data Sourcing Editing Conversion Products Public Comm upload Delivery unity Database Server Other Rule engine Quality Pre-filter checks Specs Jari Reini 10/27/2013 Content types •Maps (2D) •Voice-Enabled Maps •Address Points •Points of Interest •City Guides •Landmarks •3D maps Jari Reini 10/27/2013 Content gategories •Business content Guide –Office locations, factories, stores … -Voice Maps –Environmental data -Speed Cameras –Etc -Traffic •Find -Logistics –POIs Display –Address Points -2D/3D City Maps –Locality Index -3D Landmarks -3D Terrain Model Jari Reini 10/27/2013 Tele Atlas:Mobile Mapping Vans •Faster data collection •Superior accuracy •Advanced image collection for richer, more accurate content –Renders texture to buildings -
Development of a Query Language for GML Based on Xpath∗
Development of a Query Language for GML based on XPath∗ Jes´usM. Almendros-Jim´enez,Antonio Becerra-Ter´onand Francisco Garc´ıa-Garc´ıa University of Almer´ıa Almeria, Spain fjalmen,abecerra,[email protected] Abstract Geography Markup Language (GML) has been established as the standard language for the transport, storage and modelling of geographic information. In this paper we study how to adapt the XPath query language to GML documents. With this aim, we have defined a semantic based XPath language which is not based on the (tree-based) syntactic structure of GML documents, instead it is based on the \semantic structure" of GML documents. In other words, the proposed XPath language is based on the GML schema. We have developed a system called UALGIS, in order to implement the approach. Such system stores GML documents by means of the PostGIS RDBMS. In order to execute semantic-based XPath queries we have defined a translation of the queries into SQL. Such translation takes into account the GML schema. Finally, the system allows to visualize the result. With this aim, the result of a query is exported to the Keyhole Markup Language (KML) format. 1 Introduction The Geography Markup Language (GML) [7, 20, 21, 8] has been established as the standard language for the transport, storage and modeling of geographic information. GML is a dialect of the eXtensible Markup Language (XML) [27], which adapts XML to Geo-spatial data. XML allows to describe the structure of Web data by means of a tree. The tree structure is used to describe relations between data: for instance, a paper tag contains author, title and publisher as subtree tags and the subtree publisher can be described by means of name of the journal, country, editors, etc. -
Open Source Remote Sensing of ORFEO Toolbox and Its Connection to Database of Postgis with NIX File Importing
Korean Journal of Remote Sensing, Vol.26, No.3, 2010, pp.361~371 Open Source Remote Sensing of ORFEO Toolbox and Its Connection to Database of PostGIS with NIX File Importing Kiwon Lee† and Sanggoo Kang Dept. of Information Systems Engineering, Hansung University Abstract : In recent, interests regarding open source software for geo-spatial processing are increasing. Open source remote sensing (OSRS) is regarded as one of the progressing and advanced fields in remote sensing. Nevertheless, analyses or application cases regarding OSRS are not enough for general uses or references. In this study, three kinds of OSRS software in consideration of international popularity, types of functionalities, and development environments are taken into account: OSSIM, Opticks, and ORFEO Toolbox (OTB). First, functional comparison with respect to these is carried out on the level of the preliminary survey. According to this investigation, OTB is chosen as the most applicable OSRS software in this study. Running on OTB, NIX format importing module and database connecting module are implemented for widely general uses and further application. As for an example case, airborne image of NIX format is used to region growing segmentation algorithm in OTB, and then the results are stored and retrieved in PostGIS database to test implemented modules. Conclusively, local customization and algorithm development using OSRS software are necessary to build on-demand applications from the developers’ viewpoint. Key Words : NIX format, Open Source Remote Sensing (OSRS), ORFEO, PostGIS, Segmentation. 1. Introduction information, or processors, as well as various kinds of mashup applications of Google Maps API Since the mid-2000s, open source geo-spatial (Application Programming Interface) in Purvis et processing software has been regarded as one of al.(2006), Park and Lee (2008) and Park and Lee important progresses in the geo-spatial communities (2009).