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

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

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

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)

Methodologies for the Automatic Location of Academic and Educational Texts on the Internet

Traditionally online databases of web resources have been compiled by a human editor, or though the submissions of authors or interested parties. Considerable resources are needed to maintain a constant level of input and relevance in the face of increasing material quantity and quality, and much of what is in databases is of an ephemeral nature. These pressures dictate that many databases stagnate after an initial period of enthusiastic data entry. The solution to this problem would seem to be the automatic harvesting of resources, however, this process necessitates the automatic classification of resources as ‘appropriate’ to a given database, a problem only solved by complex text content analysis. This paper outlines the component methodologies necessary to construct such an automated harvesting system, including a number of novel approaches. In particular this paper looks at the specific problems of automatically identifying academic research work and Higher Education pedagogic materials. Where appropriate, experimental data is presented from searches in the field of Geography as well as the Earth and Environmental Sciences. In addition, appropriate software is reviewed where it exists, and future directions are outlined

Methodologies for the Automatic Location of Academic and Educational Texts on the Internet

Traditionally online databases of web resources have been compiled by a human editor, or though the submissions of authors or interested parties. Considerable resources are needed to maintain a constant level of input and relevance in the face of increasing material quantity and quality, and much of what is in databases is of an ephemeral nature. These pressures dictate that many databases stagnate after an initial period of enthusiastic data entry. The solution to this problem would seem to be the automatic harvesting of resources, however, this process necessitates the automatic classification of resources as ‘appropriate’ to a given database, a problem only solved by complex text content analysis. This paper outlines the component methodologies necessary to construct such an automated harvesting system, including a number of novel approaches. In particular this paper looks at the specific problems of automatically identifying academic research work and Higher Education pedagogic materials. Where appropriate, experimental data is presented from searches in the field of Geography as well as the Earth and Environmental Sciences. In addition, appropriate software is reviewed where it exists, and future directions are outlined

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

The Home Market Effect and Bilateral Trade Patterns

We test for home-market effects using a difference-in-difference gravity specification. The home-market effect is the tendency for large countries to be net exporters of goods with high transport costs and strong scale economies. It is predicted by models of trade based on increasing returns to scale but not by models of trade based on comparative advantage. In our estimation approach, we select pairs of exporting countries that belong to a common preferential trade area and examine their exports of goods with high transport costs and strong scale economies relative to their exports of goods with low transport costs and weak scale economies. We find that home-market effects exist and that the nature of these effects depends on industry transport costs. For industries with very high transport costs, it is national market size that determines national exports. For industries with moderately high transport costs, it is neighborhood market size that matters. In this case, national market size plus market size in nearby countries determine national exports.

The Home Market Effect and Bilateral Trade Patterns

We test for home-market effects using a difference-in-difference gravity specification. The home-market effect is the tendency for large countries to be net exporters of goods with high transport costs and strong scale economies. It is predicted by models of trade based on increasing returns to scale but not by models of trade based on comparative advantage. In our estimation approach, we select pairs of exporting countries that belong to a common preferential trade area and examine their exports of goods with high transport costs and strong scale economies relative to their exports of goods with low transport costs and weak scale economies. We find that home-market effects exist and that the nature of these effects depends on industry transport costs. For industries with very high transport costs, it is national market size that determines national exports. For industries with moderately high transport costs, it is neighborhood market size that matters. In this case, national market size plus market size in nearby countries determine national exports.