1,823 research outputs found
Usando o Google Earth para publicar dados proprietários.
Geography markup language - GML. Keyhole markup language - KML. Google earth. Google earth client.bitstream/CNPTIA/11299/1/doc60.pdfAcesso em: 28 maio 2008
Sistem Konversi Data Geografis Menggunakan Xml Dan Java Pada Aplikasi Berbasis Web
Permasalahan pertukaran data geografis sudah menjadi permasalahan dalam industri SIG (Sistem Informasi Geografis) untuk waktu yang cukup lama. Salah satu solusi yang dihasilkan adalah penggunaan dari XML (Extensible Markup Language) berbasis GML (Geography Markup Language) yang dipelopori oleh OpenGIS Consortium. GML memisahkan antara isi (content) dengan penyajian (presentation). Pembuatan peta menggunakan GML membutuhkan transformasi data GML menjadi bentuk penyajian yang mampu diterjemahkan oleh perangkat lunak. SVG (Scalalable Vector Graphics) merupakan bagian dari XML untuk penyajian grafis dua dimensi yang dapat digunakan pada proses penyajian data GML. Proses transformasi data GML menjadi dokumen SVG dapat dilakukan oleh XSLT (Extensible Stylesheet Language for Transformation). XSLT merupakan dokumen berbasis XML yang berfungsi untuk menerjemahkan data GML menjadi elemen-elemen grafis SVG. Implementasi perangkat lunak berdasarkan perancangan diterapkan pada lingkungan web menggunakan Java dan JavaServer Pages. Berdasarkan uji coba dapat disimpulkan bahwa dokumen SVG yang dihasilkan dari transformasi dan konversi shapefile perangkat lunak penulis memiliki detil yang cukup tinggi dan hampir identik dengan hasil dari ESRI Arc View
Prostorni podaci i GML
Potreba za jednostavnijom pohranom i razmjenom prostornih podataka dovela je do razvoja GML-a (Geography Markup Language) baziranog na XML-u (Extensible Markup Language ). GML danas predstavlja široko prihvaćeni standard za distribuciju prostornih podataka. Kao podskup XML- a, služi za prijenos i pohranu prostornih podataka u digitalnom obliku, uključujući prostorna i ne prostorna svojstva te veze između objekata. Njegova primjena omogućuje interoperabilnost podataka između različitih aplikacija, sustava i lokacija. U ovom je radu dat prikaz osnovnih karakteristika GML-a i GML-shema rada s podacima
SISTEM KONVERSI DATA GEOGRAFIS MENGGUNAKAN XML DAN JAVA PADA APLIKASI BERBASIS WEB
Permasalahan pertukaran data geografis sudah menjadi permasalahan dalam industri SIG (Sistem Informasi Geografis) untuk waktu yang cukup lama. Salah satu solusi yang dihasilkan adalah penggunaan dari XML (Extensible Markup Language) berbasis GML (Geography Markup Language) yang dipelopori oleh OpenGIS Consortium. GML memisahkan antara isi (content) dengan penyajian (presentation). Pembuatan peta menggunakan GML membutuhkan transformasi data GML menjadi bentuk penyajian yang mampu diterjemahkan oleh perangkat lunak. SVG (Scalalable Vector Graphics) merupakan bagian dari XML untuk penyajian grafis dua dimensi yang dapat digunakan pada proses penyajian data GML. Proses transformasi data GML menjadi dokumen SVG dapat dilakukan oleh XSLT (Extensible Stylesheet Language for Transformation). XSLT merupakan dokumen berbasis XML yang berfungsi untuk menerjemahkan data GML menjadi elemen-elemen grafis SVG. Implementasi perangkat lunak berdasarkan perancangan diterapkan pada lingkungan web menggunakan Java dan JavaServer Pages. Berdasarkan uji coba dapat disimpulkan bahwa dokumen SVG yang dihasilkan dari transformasi dan konversi shapefile perangkat lunak penulis memiliki detil yang cukup tinggi dan hampir identik dengan hasil dari ESRI Arc View. Kata Kunci : SIG, GML, SVG, transformasi GML ke SVG, konversi shapefile ke GML
The evolution of Geography Markup Language (GML) compression model
This paper will discuss about the evolution of Geography Markup Language (compression model.GML is a type of XML files normally used to store spatial data from database.However due to the huge size processing and transferring this type of file will cost performance and storage issue. Throughout the years several GML file compression model has been developed to help in addressing this problem.Four GML file compression model
which are GPress, Delta Sp Compression and Extrapolation Model, GMill, and GPress++ has been selected to be discussed in this paper.In addition a comparison and the enhancement done in each model will be discussed in here.From the assessment GPress++ compression model h significant file compression rate on synthetic dataset with 77.10% improvement on gzip compressor
Integrated XML andGML in Geographical Information System
This project basically concentrated on the study of extensible Markup Language
(XML) and Geography Markup Language (GML) in Geographical Information
System (GIS). The objective of the project is to convert the spatial data (e.g.:
coordinates, area, etc) by using the XML and GML and then coding will be
integrated and viewed in the web browser by using the Scalable Vector Graphic
(SVG)technology. Basically, this project is done to find a new way to overcomethe
weaknesses of map digitizing and taking advantage of the GML technology in
Geographical Information System. The project scope is concentrate on the usage of
XML andGML in GIS. Research is done onXML technologies, which are provided
for GML. The technologies included technology for encoding and data modeling
(Data Type Definition, XML Schema), technology for transforming (XSLT) and
technology for graphic rendering (SVG). Research on GML is focused on
manipulation of spatial data to convert to simple features such as point, line and
polygon. This project combines XML, GML and SVG technologies in order to meet
the project objectives. In completing this project, waterfall model is use as the
methodology for the system development. The project is developed according tothe
four phases of system development, which are planning, analysis, design and
implementation. The discussion ofthis project will be more on GML compatibility
and the advantages of using SVG to view the map. The simple display of map
created will be able to show thatGML is suits for handling geo-spatial data overthe
Internet. The user would be able to view the map and zooming feature is provided
by SVG
Developing a GIS-Database and Risk Index for Potentially Polluting Marine Sites
The increasing availability of geospatial marine data provides an opportunity for hydrographic offices to contribute to the identification of “Potentially Polluting Marine Sites” (PPMS). These include shipwrecks, oil rigs, pipelines, and dumping areas. To adequately assess the environmental risk of these sites, relevant information must be collected and converted into a multi-scale geodatabase suitable for site inventory and geo-spatial analysis. In addition, a Risk Index – representing an assessment of the magnitude of risk associated with any site – can be derived to determine the potential impacts of these PPMS. However, the successful collection and integration of PPMS information requires some effort to ‘normalize’ and standardize the data based on recognized international standards. In particular, there is benefit in structuring the data in conformance with the Universal Hydrographic Data Model (IHO S-100) recently adopted by the International Hydrographic Organization. In this paper, an S-100 compliant product specification for a PPMS geo-spatial database and associated Marine Site Risk Index is proposed which can be used by national hydrographic offices and marine protection agencies
Potentially Polluting Marine Sites GeoDB: An S-100 Geospatial Database as an Effective Contribution to the Protection of the Marine Environment
Potentially Polluting Marine Sites (PPMS) are objects on, or areas of, the seabed that may release pollution in the future. A rationale for, and design of, a geospatial database to inventory and manipu-late PPMS is presented. Built as an S-100 Product Specification, it is specified through human-readable UML diagrams and implemented through machine-readable GML files, and includes auxiliary information such as pollution-control resources and potentially vulnerable sites in order to support analyses of the core data. The design and some aspects of implementation are presented, along with metadata requirements and structure, and a perspective on potential uses of the database
Data integration with the Climate Science Modelling Language
The Climate Science Modelling Language (CSML) has been developed by the NERC DataGrid (NDG) project as a standards-based data model and XML markup for describing and constructing climate science datasets. It uses conceptual models from emerging standards in GIS to define a number of feature types, and adopts schemas of the Geography Markup Language (GML) where possible for encoding.
A prototype deployment of CSML is being trialled across
the curated archives of the British Atmospheric and Oceanographic Data Centres. These data include a wide range of data types – both observational and model – and heterogeneous file-based storage systems. CSML provides a semantic abstraction layer for data files, and is exposed through higher level data delivery services. In NDG these will include file instantiation services (for formats of choice) and the web services of the Open Geospatial
Consortium (OGC)
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