scholarly journals HARMONISATION MODEL OF ADMINISTRATIVE UNITS OF THE REPUBLIC OF SRPSKA ACCORDING TO INSPIRE DIRECTIVE

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Ivana Janković ◽  
Mladen Amović
Keyword(s):  
Public Sector ◽  
European Commission ◽  
Spatial Data ◽  
Spatial Information ◽  
Structure Development ◽  
Joint Research ◽  
Data Infrastructure ◽  
The Republic ◽  
Administrative Units ◽  
Republika Srpska

The INSPIRE Directive establishes a framework for the creation of a spatial data infrastructure(SDI), which will enable the exchange of spatial information between public sector organizationsand better access to spatial information in general across the Europe. This paper describes theharmonization of the INSPIRE theme Administrative Units. Data harmonization was carried outwithin the framework of the IMPULS project implemented by the Republic Geodetic and PropertyAdministration of Republika Srpska with the support of the Swedish Agency for Cadastre andCartography. Implementation involves the development of a GML scheme with mapping of existingdata in accordance with that structure, development and testing of INSPIRE services, andpreparation of metadata for data and services. The model was verified by the Joint Research Centerin Ispra, established by the European Commission (Joint Research Center).

scholarly journals Implementing an open source spatio-temporal search platform for Spatial Data Infrastructures

2016 ◽  
Author(s):  
Paolo Corti ◽  
Benjamin G Lewis ◽  
Athanasios Tom Kralidis ◽  
Ntabathia Jude Mwenda
Keyword(s):  
Open Source ◽  
Search Engine ◽  
Language Processing ◽  
Spatial Data ◽  
Spatial Information ◽  
National Endowment ◽  
Data Infrastructure ◽  
Advanced Search ◽  
Data Infrastructures ◽  
Spatio Temporal

A Spatial Data Infrastructure (SDI) is a framework of geospatial data, metadata, users and tools intended to provide an efficient and flexible way to use spatial information. One of the key software components of an SDI is the catalogue service which is needed to discover, query, and manage the metadata. Catalogue services in an SDI are typically based on the Open Geospatial Consortium (OGC) Catalogue Service for the Web (CSW) standard which defines common interfaces for accessing the metadata information. A search engine is a software system capable of supporting fast and reliable search, which may use “any means necessary” to get users to the resources they need quickly and efficiently. These techniques may include features such as full text search, natural language processing, weighted results, fuzzy tolerance results, faceting, hit highlighting, recommendations, feedback mechanisms based on log mining, usage statistic gathering, and many others. In this paper we will be focusing on improving geospatial search with a search engine platform that uses Lucene, a Java-based search library, at its core. In work funded by the National Endowment for the Humanities, the Centre for Geographic Analysis (CGA) at Harvard University is in the process of re-engineering the search component of its public domain SDI (WorldMap http://worldmap.harvard.edu ) which is based on the GeoNode platform. In the process the CGA has developed Harvard Hypermap (HHypermap), a map services registry and search platform independent from WorldMap. The goal of HHypermap is to provide a framework for building and maintaining a comprehensive registry of web map services, and because such a registry is expected to be large, the system supports the development of clients with modern search capabilities such as spatial and temporal faceting and instant previews via an open API. Behind the scenes HHypermap scalably harvests OGC and Esri service metadata from distributed servers, organizes that information, and pushes it to a search engine. The system monitors services for reliability and uses that to improve search. End users will be able to search the SDI metadata using standard interfaces provided by the internal CSW catalogue, and will benefit from the enhanced search possibilities provided by an advanced search engine. HHypermap is built on an open source software source stack.

scholarly journals Implementing an open source spatio-temporal search platform for Spatial Data Infrastructures

2016 ◽  
Author(s):  
Paolo Corti ◽  
Benjamin G Lewis ◽  
Tom Kralidis ◽  
Jude Mwenda
Keyword(s):  
Open Source ◽  
Search Engine ◽  
Language Processing ◽  
Spatial Data ◽  
Search Engines ◽  
Spatial Information ◽  
Data Infrastructure ◽  
Advanced Search ◽  
Data Infrastructures ◽  
Spatio Temporal

A Spatial Data Infrastructure (SDI) is a framework of geospatial data, metadata, users and tools intended to provide the most efficient and flexible way to use spatial information. One of the key software components of a SDI is the catalogue service, needed to discover, query and manage the metadata. Catalogue services in a SDI are typically based on the Open Geospatial Consortium (OGC) Catalogue Service for the Web (CSW) standard, that defines common interfaces to access the metadata information. A search engine is a software system able to perform very fast and reliable search, with features such as full text search, natural language processing, weighted results, fuzzy tolerance results, faceting, hit highlighting and many others. The Centre of Geographic Analysis (CGA) at Harvard University is trying to integrate within its public domain SDI (named WorldMap), the benefits of both worlds (OGC catalogues and search engines). Harvard Hypermap (HHypermap) is a component that will be part of WorldMap, totally built on an open source stack, implementing an OGC catalogue, based on pycsw, to provide access to metadata in a standard way, and a search engine, based on Solr/Lucene, to provide the advanced search features typically found in search engines.

scholarly journals Implementing an open source spatio-temporal search platform for Spatial Data Infrastructures

2016 ◽  
Author(s):  
Paolo Corti ◽  
Benjamin G Lewis ◽  
Tom Kralidis ◽  
Jude Mwenda
Keyword(s):  
Open Source ◽  
Search Engine ◽  
Language Processing ◽  
Spatial Data ◽  
Search Engines ◽  
Spatial Information ◽  
Data Infrastructure ◽  
Advanced Search ◽  
Data Infrastructures ◽  
Spatio Temporal

A Spatial Data Infrastructure (SDI) is a framework of geospatial data, metadata, users and tools intended to provide the most efficient and flexible way to use spatial information. One of the key software components of a SDI is the catalogue service, needed to discover, query and manage the metadata. Catalogue services in a SDI are typically based on the Open Geospatial Consortium (OGC) Catalogue Service for the Web (CSW) standard, that defines common interfaces to access the metadata information. A search engine is a software system able to perform very fast and reliable search, with features such as full text search, natural language processing, weighted results, fuzzy tolerance results, faceting, hit highlighting and many others. The Centre of Geographic Analysis (CGA) at Harvard University is trying to integrate within its public domain SDI (named WorldMap), the benefits of both worlds (OGC catalogues and search engines). Harvard Hypermap (HHypermap) is a component that will be part of WorldMap, totally built on an open source stack, implementing an OGC catalogue, based on pycsw, to provide access to metadata in a standard way, and a search engine, based on Solr/Lucene, to provide the advanced search features typically found in search engines.

Developing the Niger Delta Transport System Using Adequate Geo-Spatial Information

2007 ◽  
Vol 18-19 ◽  
pp. 365-373 ◽  
Author(s):  
J.O. Ehiorobo ◽  
Henry A.P. Audu
Keyword(s):  
Spatial Data ◽  
Niger Delta ◽  
Spatial Information ◽  
Transportation System ◽  
Delta Region ◽  
Data Infrastructure ◽  
Goods And Services ◽  
Niger Delta Region ◽  
Water Transportation ◽  
Good Schools

The Niger Delta Region, although the back bone of Nigerian economy, has been neglected by successive governments over time. There are no good schools, no health facilities, no water and other facilities within this area. The problem of the area is compounded by lack of good transportation system. This has been a hindrance both for security agencies and the people in the restive area. A good transportation system should ensure that people, goods and services move speedily, conveniently, safely and cost effectively. To have an efficient ground and water transportation system needed in this area requires adequate and accurate Geo-spatial information. In this paper, the benefits of adequate transportation system in the Niger Delta Region are highlighted. The roles of Geo-spatial data and Geo-spatial information system in the planning, development and management of an efficient transportation system are discussed. The paper also examines Geospatial Data infrastructure (GDI) in the development of the Niger Delta transportation sector Master plan, with data generated for Edo and Delta States presenting case study scenarios.

Geospatial Semantic Query Engine for Urban Spatial Data Infrastructure

2019 ◽  
Vol 15 (4) ◽  
pp. 31-51
Author(s):  
Sunitha Abburu
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Semantic Relations ◽  
Semantic Relationship ◽  
Data Infrastructure ◽  
Semantic Query ◽  
Semantic Relationships ◽  
Query Engine ◽  
Spatial Method ◽  
User Friendly

The research aims at design and develop a special semantic query engine “CityGML Spatial Semantic Web Client (CSSWC)” that facilitates ontology-based multicriteria queries on CityGML data in OGC standard. Presently, there is no spatial method, spatial information infrastructure or any tool to establish the spatial semantic relationship between the 3D city objects in CityGML model. The present work establishes the spatial and semantic relationships between the 3DCityObjects and facilitates ontology-driven spatial semantic query engine on 3D city objects, class with multiple attributes, spatial semantic relations like crosses, nearby, etc., with all other city objects. This is a novel and original work practically implemented generic product for any 3D CityGML model on the globe. A user-friendly form-based interface is designed to compose effective ontology based GeoSPARQL query. CSSWC enhances CityGML applications performance through effective and efficient querying system.

Mintell4EU – Mineral Intelligence for Europe – a GeoERA project to improve and sustain the European raw materials knowledge base.

2020 ◽  
Author(s):  
David Whitehead ◽  
Lisbeth Flindt Jørgensen ◽  
Mikael Pedersen ◽  
Teresa Brown ◽  
Špela Kumelj ◽  
...  
Keyword(s):  
United Nations ◽  
Spatial Data ◽  
Raw Materials ◽  
Raw Material ◽  
Joint Research ◽  
Data Infrastructure ◽  
Horizon 2020 ◽  
Research And Innovation ◽  
Spatial Coverage ◽  
The United Nations

<p>There is a need for comprehensive, up-to-date, reliable and harmonised cross-border information on raw materials to improve resource efficiency across Europe. The Mintell4EU project builds on the achievements of previous projects such as Minerals4EU, ProSUM and Minventory to deliver data on the spatial distribution, production, trade, resource potential and levels of exploration activity to support decision making in government and industry.</p><p>The project has four principle components. The first component involves updating production, trade and exploration statistical data within the electronic European minerals yearbook. The second component includes extending the spatial coverage and improvement of spatial data quality within the Minerals4EU database. The third component will demonstrate how the application of the United Nations Framework Classification (UNFC) will provide a tool that can be used to more accurately assess European mineral inventories. The final component involves consolidating the electronic European minerals yearbook into the Minerals4EU database used for external systems such as the European Geological Data Infrastructure (EGDI) and the Joint Research Center’s Raw Materials Information System (RMIS). Another important goal of the project is to create a sustainable platform for raw materials.</p><p>The project works in collaboration with other GeoERA projects within the theme of raw materials such as FRAME and the GeoERA Information Platform Project (GIP-P). This collaboration is critical in ensuring data harmonisation across projects, regions and focus areas. Improvements in the quality and availability of data that are available through the web portal on the project home page https://geoera.eu/projects/mintell4eu7/ have already been achieved. Work will continue on improving the availability and relevance of raw material data throughout the remainder of the project. This will lead to improved foresight of the raw material supply situation and potential of Europe within the framework of the United Nations Sustainable Development Goals (SDGs).</p><p>This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 731166</p>

scholarly journals Understanding the Acceptance of Local Public Officers on Computer-based Urban Spatial Information System

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Isti Andini ◽  
Ariva Sugandi Permana ◽  
Murtanti Jani Rahayu
Keyword(s):  
Information Technology ◽  
Information System ◽  
Local Government ◽  
Spatial Data ◽  
Spatial Information ◽  
Initial Development ◽  
Administrative Services ◽  
Administrative Unit ◽  
Administrative Units ◽  
Urban Planning And Management

Information technology is developed to assist people in minimizing processing time, reducing errors, increasing the accuracy and simplifying the overall process. The process of recording, retrieving and displaying data and information can thus be easily and accurately undertaken. Information technology in its initial development, however, tends to be too costly and complicated to make a real particularly for people in developing countries. Fortunately, universities as the centers of innovation, can be a game changer for the adoption of the innovative processes, for the benefits of the community at large. In all Indonesian universities, this role is associated with a, so called Tri Dharma Perguruan Tinggi (Three Devotions of Higher Education, TDHE). This paper examines the acceptance of the collaborating officials and the obstacles i.e. internal and environmental factors. We proposed the use of GIS-based technology to coordinate the administrative units of local government at all levels, particularly the Kelurahan as the lowest hierarchy of the administrative unit in local government system. The Kelurahan will then be the spearhead in a local government system in Indonesia in promoting administrative services to all Citizens. We undertook an integrated training and tutorial for select official staff of the Kelurahan on the system. Evaluation of shows that the information system can be used to simplify the collaborators’ activities. The evaluation was done through in-depth interview to the collaborating officials. The collaborators interested in learning more about the system as an innovative way in providing service to the community as well as spatial data input to support urban planning and management.

scholarly journals Διαμόρφωση βασικών παραμέτρων σχεδιασμού και υλοποίησης της Ελληνικής Εθνικής Υποδομής Γεωχωρικών Πληροφοριών

2015 ◽  
Author(s):  
Παναγιώτης Τζιαχρής
Keyword(s):  
European Community ◽  
Spatial Data ◽  
Spatial Information ◽  
Spatial Data Infrastructure ◽  
Data Infrastructure

Αντικείμενο της παρούσας διδακτορικής διατριβής είναι η μελέτη της Υποδομής Γεωχωρικών Πληροφοριών (ΥΓΕΠ, Spatial Data Infrastructure - SDI) ειδικά για την περίπτωση της Ελλάδας και η πρόταση διαμόρφωσης βασικών παραμέτρων σχεδιασμού και υλοποίησης της, με την δόμηση και αξιοποίηση ενός "Μοντέλου Σύνθεσης Τάσεων". Επιπλέον, καταγράφει την υφιστάμενη προσέγγιση από την εδαφολογική επιστημονική κοινότητα, των Ελληνικών αγροτικών εδαφολογικών δεδομένων και την συγκρίνει με τις απαιτήσεις του νόμου 3882/2010 για την Ελληνική Εθνική ΥΓΕΠ (ΕΥΓΕΠ) και της Ευρωπαϊκής ΥΓΕΠ (Infrastructure for Spatial Information in the European Community, INSPIRE). Τέλος αξιοποιώντας τα θεωρητικά συμπεράσματα της παρούσας διατριβής, παραθέτει δυο διαφορετικές προσεγγίσεις (τεχνοκεντρική, κοινωνικοτεχνική) ενσωμάτωσης και αξιοποίησης των Ελληνικών εδαφολογικών δεδομένων σε μια μελλοντική Ελληνική ΕΥΓΕΠ, προκρίνοντας ωστόσο την κοινωνικοτεχνική ως πιο πιθανά βιώσιμη και επιτυχημένη, καθώς και πιο συμβατή τόσο με την σύγχρονη θεωρία όσο και με τα αποτελέσματα της παρούσας διατριβής.

scholarly journals Software to compare images of the vegetation index obtained by satellite devices and unmanned aircraft

2020 ◽  
Vol 23 (4) ◽  
pp. 63-70
Author(s):  
M. Yu. Kataev ◽  
◽  
M. O. Krylov ◽  
P. P. Geiko ◽  
◽  
...  
Keyword(s):  
Spatial Data ◽  
Vegetation Index ◽  
Spatial Information ◽  
Measurement Data ◽  
Unmanned Aircraft ◽  
Software System ◽  
Temporal Data ◽  
Sources Of Information ◽  
Data Infrastructure ◽  
Spatio Temporal

At present, the practice of supporting many types of human activities requires the use of the spatial data infrastructure. Such an infrastructure integrates spatio-temporal sets from many sources of information within itself, providing the user with various types of processing, analysis and visualization methods. This article describes the architecture of the software system and the processes for managing sets of spatio-temporal data to solve agricultural problems. Measurement data using multispectral satellite systems, unmanned aerial vehicles (UAVs), as well as a priori information (meteorology, agrochemical information, etc.) are taken as input information. The User of the Software System is provided with the opportunity to control the spatial information of the territory of agricultural fields, sets of temporal data from various spatial data. An important achievement of the work is the combination of the results of satellite and UAV images according to the controlled parameters, that makes possible to expand the area of use of UAVs and verify them. The results of real data processing are presented.

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