http://www.journaltocs.ac.uk/api/articles/geospatial%20technology JournalTOCs API JOURNALTOCS API PROJECT 19 http://rss.sciencedirect.com/action/redirectFile?&zone=main&currentActivity=feed&usageType=outward&url=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob%3DGatewayURL%26_origin%3DIRSSSEARCH%26_method%3DcitationSearch%26_piikey%3DS1006126608600802%26_version%3D1%26md5%3D4e4d7e134fb0de1e426f05a5a805cd8f September 2008 Publication year: 2008<br> Source:Journal of China University of Mining and Technology, Volume 18, Issue 3<br> <br> <br> GIS- or CAD-based technology has been widely used for cartographic maps in coal mines, but structural gaps between such maps make it difficult to provide an integrated map service, for any specific purpose, at higher levels. There is no uniform platform that can be used to manage all involved maps. The main reason for this is that datasets are submitted by individual coal mines using their individual, diverse software. No consistent model is used within the software for data abstraction and symbolization. This paper first reviews all the essential specifications concerning OGC (Open Geospatial Consortium) interoperability. Then an OGC standard-oriented architecture is proposed to provide distributed coal mine map services. Within this new architecture the management of spatial data archives, and the integration of coal mine maps, are achieved through the interfaces of geospatial services. Finally an open source geospatial approach is suggested to implement the proposed scheme. A case study of the Huaibei Coal Group is used to demonstrate the proposal. <br> <br> <br> <br> <br> http://rss.sciencedirect.com/action/redirectFile?&zone=main&currentActivity=feed&usageType=outward&url=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob%3DGatewayURL%26_origin%3DIRSSSEARCH%26_method%3DcitationSearch%26_piikey%3DS1006126608600802%26_version%3D1%26md5%3D4e4d7e134fb0de1e426f05a5a805cd8f ENGINEERING MINES AND MINING INDUSTRY 2012-12-18T09:16:33Z Journal of China University of Mining and Technology, Vol. Journal of China University of Mining and Technology, 18, Issue 3 Elsevier Journal of China University of Mining and Technology 2012-12-18T09:16:33Z An OGC standard-oriented architecture for distributed coal mine map services

Journal of China University of Mining and Technology, Vol. , No. (2012) pp. -
September 2008 Publication year: 2008 Source:Journal of China University of Mining and Technology, Volume 18, Issue 3 GIS- or CAD-based technology has been widely used for cartographic maps in coal mines, but structural gaps between such maps make it difficult to provide an integrated map service, for any specific purpose, at higher levels. There is no uniform platform that can be used to manage all involved maps. The main reason for this is that datasets are submitted by individual coal mines using their individual, diverse software. No consistent model is used within the software for data abstraction and symbolization. This paper first reviews all the essential specifications concerning OGC (Open Geospatial Consortium) interoperability. Then an OGC standard-oriented architecture is proposed to provide distributed coal mine map services. Within this new architecture the management of spatial data archives, and the integration of coal mine maps, are achieved through the interfaces of geospatial services. Finally an open source geospatial approach is suggested to implement the proposed scheme. A case study of the Huaibei Coal Group is used to demonstrate the proposal.

]]> http://link.springer.com/10.1007/s12517-013-0959-5 <h3 class=&quot;a-plus-plus&quot;>Abstract</h3> <p class=&quot;a-plus-plus&quot;>The Sinai Peninsula constitutes an important district of the Egyptian lands where it forms a triangular portion in northeastern Egypt. The southern Sinai metamorphic complexes are the northern uppermost part of the Arabian–Nubian Shield revealing the upper and middle crust from the East African Orogeny, in which they tectonically evolved. The Feiran–Solaf metamorphic complex (FSMC) of Sinai, Egypt is one of the highest grades metamorphic complexes of a series of basement domes that trends NW and crops out throughout the Arabian–Nubian Shield. The main aim of the present study is to apply the geospatial technology and to represent the capability of the geospatial technology to estimate the combined influence of lithology and structure studies, and to construct the lithological and structural maps of FSMC. Furthermore, detailed structural analysis is carried out to reveal the different ductile and brittle deformational events and proposed the tectonic evolutionary model for the study area. Mainly geospatial technology and structural analysis software have been used to go well with the aim of the present study. Developing specific image processing of satellite images and structural analysis were succeeded to discriminate the various lithological rock units, and the geological structural features of the FSMC, using geographic information system tools to construct the different thematic maps, were extracted. The present detailed investigations of the enhanced satellite images, structural analysis, and field verification reveal that the FSMC reached its present tectonic setting through more than four deformational phases concluding that the Pan-African Najd Fault System continued in Sinai and was reactivated during Red Sea tectonics as indicated by the dextral shear zone (Rihba) bordering the northern side of the FSMC.</p> http://link.springer.com/10.1007/s12517-013-0959-5 2013-05-07 Arabian Journal of Geosciences, Vol. , No. (2013) pp. - Springer-Verlag Arabian Journal of Geosciences 2013-05-07 Geospatial technology and structural analysis for geological mapping and tectonic evolution of Feiran–Solaf metamorphic complex, South Sinai, Egypt

Arabian Journal of Geosciences, Vol. , No. (2013) pp. -
<h3 class=&quot;a-plus-plus&quot;>Abstract</h3> <p class=&quot;a-plus-plus&quot;>The Sinai Peninsula constitutes an important district of the Egyptian lands where it forms a triangular portion in northeastern Egypt. The southern Sinai metamorphic complexes are the northern uppermost part of the Arabian–Nubian Shield revealing the upper and middle crust from the East African Orogeny, in which they tectonically evolved. The Feiran–Solaf metamorphic complex (FSMC) of Sinai, Egypt is one of the highest grades metamorphic complexes of a series of basement domes that trends NW and crops out throughout the Arabian–Nubian Shield. The main aim of the present study is to apply the geospatial technology and to represent the capability of the geospatial technology to estimate the combined influence of lithology and structure studies, and to construct the lithological and structural maps of FSMC. Furthermore, detailed structural analysis is carried out to reveal the different ductile and brittle deformational events and proposed the tectonic evolutionary model for the study area. Mainly geospatial technology and structural analysis software have been used to go well with the aim of the present study. Developing specific image processing of satellite images and structural analysis were succeeded to discriminate the various lithological rock units, and the geological structural features of the FSMC, using geographic information system tools to construct the different thematic maps, were extracted. The present detailed investigations of the enhanced satellite images, structural analysis, and field verification reveal that the FSMC reached its present tectonic setting through more than four deformational phases concluding that the Pan-African Najd Fault System continued in Sinai and was reactivated during Red Sea tectonics as indicated by the dextral shear zone (Rihba) bordering the northern side of the FSMC.</p>

]]> http://www.inderscience.com/link.php?id=53295 Spatial information is a powerful way to integrate data and knowledge in intuitive maps, enabling spatial patterns and relationships to be instantly visible. This paper describes a Spatial Decision Support System (SDSS) that supports web-based data exploration in spatial decisional processes. Based on a cloud environment, the SDSS is made up of specialised modules providing well-defined services. Mash-ups integrate data from different resources on the internet and provide the user with a flexible and easy-of-use interface. The paper focuses on Web 2.0 technology as a way for sharing geospatial data under the umbrella of collaborative decision making and it aims to make both a conceptual and a practical contribution. Conceptually, it leverages on web-based data integration as a power technology to increase broadly and self-adaptive management of data with high user involvement. Practically, it illustrates how this technology can be effectively deployed in a real estate decision-making scenario. DOI 10.1504/IJCENT.2013.053295 Michele Argiolas Nicoletta Dess&#195;&#172; Gianfranco Garau Barbara Pes 2013-04-15T23:20:50-05:00 International Journal of Collaborative Enterprise, Vol. 3, No. 2/3 (2013) pp. 189 - 207 Inderscience Publishers International Journal of Collaborative Enterprise 3 2/3 189 207 2013-04-15T23:20:50-05:00 Web 2.0 services for collaborative spatial decision making
Michele Argiolas; Nicoletta Dessì; Gianfranco Garau; Barbara Pes
International Journal of Collaborative Enterprise, Vol. 3, No. 2/3 (2013) pp. 189 - 207
Spatial information is a powerful way to integrate data and knowledge in intuitive maps, enabling spatial patterns and relationships to be instantly visible. This paper describes a Spatial Decision Support System (SDSS) that supports web-based data exploration in spatial decisional processes. Based on a cloud environment, the SDSS is made up of specialised modules providing well-defined services. Mash-ups integrate data from different resources on the internet and provide the user with a flexible and easy-of-use interface. The paper focuses on Web 2.0 technology as a way for sharing geospatial data under the umbrella of collaborative decision making and it aims to make both a conceptual and a practical contribution. Conceptually, it leverages on web-based data integration as a power technology to increase broadly and self-adaptive management of data with high user involvement. Practically, it illustrates how this technology can be effectively deployed in a real estate decision-making scenario.

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