scholarly journals APLICACIÓN DE ÍNDICES DE FORMA EN LA DETERMINACIÓN DE POLÍGONOS SLIVERS DERIVADOS DE LAS DIMENSIONES LINEALES DE UNA FIGURA Y SU ÁREA

2017 ◽  
Author(s):  
Áurea Gallego Salguero ◽  
Miguel Sánchez Marco
Keyword(s):  
Spatial Analysis ◽  
Environmental Impact ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Work Design ◽  
Geographical Information ◽  
Government Agencies ◽  
Real Problem ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

Nowadays cartography is more and more required by users, companies and government agencies. A lot of tasks need digital, updated and quality cartography: Civil work design, planning, landscaping, environmental impact, conservation, etc. This need of cartography is mostly solved by spatial data infrastructures and map servers that make downloading and getting maps easy. Later, using Geographical Information Systems (GIS) it is quite easy to perform queries and geoprocessing operations in order to get valuable information which is difficult to get with other tools. However slivers polygons are a serious problem. They can alter the results in spatial analysis, queries and map portray. A map with sliver polygons is a map with false polygons and therefore with errors. We need to remove them. Removing sliver polygons is simple once they have been located. The real problem is to manage to locate them. Some sliver polygons are small, others are large but in both cases sliver polygons are difficult to locate and tell them apart from other polygons. Scientists have used formulas to calculate the shape of objects for many years. Today there are dozens of formulas available that could be used in the characterization and location of polygons slivers. In this article many of these shape formulas are analyzed and conclusions are drawn on whether they can be used in locating sliver polygons.http://dx.doi.org/10.4995/CIGeo2017.2017.6567

An Assessment of Several Taxonomies of Volunteered Geographic Information

2013 ◽  
pp. 1794-1808
Author(s):  
Antony K Cooper ◽  
Serena Coetzee ◽  
Derrick G Kourie
Keyword(s):  
Spatial Data ◽  
Formal Concept Analysis ◽  
Geographic Information ◽  
Geographical Information ◽  
User Generated Content ◽  
Formal Concept ◽  
Data Bases ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures ◽  
Official Data

User-Generated Content (UGC) in general, and Volunteered Geographical Information (VGI) in particular, are becoming more important as sources for official data bases, such as those used in national Spatial Data Infrastructures (SDIs). Discovering and assessing VGI as suitable geospatial resources for one’s purposes is hence becoming more important, but can be difficult. One way of assessing VGI resources is by classifying them into different types of resources, i.e. a taxonomy of resources. The question is whether such taxonomies can accurately identify suitable VGI resources. We assess five taxonomies both subjectively and using formal concept analysis to determine their discrimination adequacy, that is, how well the taxonomies discriminate between repositories containing UGC in general, or VGI in particular.

scholarly journals Conciliating Perspectives from Mapping Agencies and Web of Data on Successful European SDIs: Toward a European Geographic Knowledge Graph

2020 ◽  
Vol 9 (2) ◽  
pp. 62 ◽  
Author(s):  
Bénédicte Bucher ◽  
Esa Tiainen ◽  
Thomas Ellett von Brasch ◽  
Paul Janssen ◽  
Dimitris Kotzinos ◽  
...  
Keyword(s):  
Spatial Data ◽  
Geographical Information ◽  
Knowledge Graph ◽  
Geographic Knowledge ◽  
Computer Scientists ◽  
Web Of Data ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures ◽  
The One ◽  
The Web

Spatial Data Infrastructures (SDIs) are a key asset for Europe. This paper concentrates on unsolved issues in SDIs in Europe related to the management of semantic heterogeneities. It studies contributions and competences from two communities in this field: cartographers, authoritative data providers, and geographic information scientists on the one hand, and computer scientists working on the Web of Data on the other. During several workshops organized by the EuroSDR and Eurogeographics organizations, the authors analyzed their complementarity and discovered reasons for the difficult collaboration between these communities. They have different and sometimes conflicting perspectives on what successful SDIs should look like, as well as on priorities. We developed a proposal to integrate both perspectives, which is centered on the elaboration of an open European Geographical Knowledge Graph. Its structure reuses results from the literature on geographical information ontologies. It is associated with a multifaceted roadmap addressing interrelated aspects of SDIs.

scholarly journals THE UNCERTAINTIES ON THE GIS BASED LAND SUITABILITY ASSESSMENT FOR URBAN AND RURAL PLANNING

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 523-530 ◽  
Author(s):  
H. Liu ◽  
Q. Zhan ◽  
M. Zhan
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Land Suitability ◽  
Geographical Information ◽  
Analysis Tool ◽  
Practical Applications ◽  
Whole Process ◽  
Suitability Assessment ◽  
Land Suitability Assessment

The majority of the research on the uncertainties of spatial data and spatial analysis focuses on some specific data feature or analysis tool. Few have accomplished the uncertainties of the whole process of an application like planning, making the research of uncertainties detached from practical applications. The paper discusses the uncertainties of the geographical information systems (GIS) based land suitability assessment in planning on the basis of literature review. The uncertainties considered range from index system establishment to the classification of the final result. Methods to reduce the uncertainties arise from the discretization of continuous raster data and the index weight determination are summarized. The paper analyzes the merits and demerits of the “Nature Breaks” method which is broadly used by planners. It also explores the other factors which impact the accuracy of the final classification like the selection of class numbers, intervals and the autocorrelation of the spatial data. In the conclusion part, the paper indicates that the adoption of machine learning methods should be modified to integrate the complexity of land suitability assessment. The work contributes to the application of spatial data and spatial analysis uncertainty research on land suitability assessment, and promotes the scientific level of the later planning and decision-making.

An Assessment of Several Taxonomies of Volunteered Geographic Information

2012 ◽  
pp. 21-36
Author(s):  
Antony K Cooper ◽  
Serena Coetzee ◽  
Derrick G Kourie
Keyword(s):  
Spatial Data ◽  
Formal Concept Analysis ◽  
Geographic Information ◽  
Geographical Information ◽  
User Generated Content ◽  
Formal Concept ◽  
Data Bases ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures ◽  
Official Data

User-Generated Content (UGC) in general, and Volunteered Geographical Information (VGI) in particular, are becoming more important as sources for official data bases, such as those used in national Spatial Data Infrastructures (SDIs). Discovering and assessing VGI as suitable geospatial resources for one’s purposes is hence becoming more important, but can be difficult. One way of assessing VGI resources is by classifying them into different types of resources, i.e. a taxonomy of resources. The question is whether such taxonomies can accurately identify suitable VGI resources. We assess five taxonomies both subjectively and using formal concept analysis to determine their discrimination adequacy, that is, how well the taxonomies discriminate between repositories containing UGC in general, or VGI in particular.

Analisa Spasial Pemetaan Lokasi Wisata Agro (Studi Kasus Di Lombok Barat)

2017 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Ahmat Adil
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Coffee Plantations ◽  
Community Forests ◽  
Natural Beauty ◽  
Tourism Potential ◽  
Point Line ◽  
Dimension Space

Lombok Barat is one of the districts on the island of Lombok and became a tourist destination, has the appeal of natural and cultural tourism. Conditions natural attractions consist of naturallandscapes, protected forests and community forests, beaches, plantations, and the diversity of marine potential. One element of the plantation sector which is currently untapped optimally is an agro-tourism. Agro-tourism potential is addressed from the natural beauty of the plantation and production in the plantation sector is sufficiently developed. Geographical Information Systems produces data aspects of spatial and non-spatial data. The main characteristics of the geographic information system is the ability to analyze a system such as statistical analysis and overlay called spatial analysis by adding the dimension '(space)' or geography. Spatial analysis conducted with mengoverlay two maps which then generates a new map analysis results. Spatial analysis process includes activities to create a buffer around a point (point), line (line) and area (polygon), analyzing a map with points, lines and areas with the overlay method, intersection, union, identity, and clips.  Based on the spatial analysis has been done it obtained the three locations that can be used for agro tourism, namely: a coffee plantation with an area of 9751995 m2, oil plantation area of 8.99343 million and 27.03261 million, vanilla and coffee plantations covering an area of 7,042,943 m2.

scholarly journals A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Fatemeh Hashemi Amin ◽  
Mahtab Ghaemi ◽  
Sayyed Mostafa Mostafavi ◽  
Ladan Goshayeshi ◽  
Khadijeh Rezaei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Cancer Patients ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Dietary Habits ◽  
Age Groups ◽  
Geographical Location ◽  
Geographical Information ◽  
Point Feature

Abstract Objectives Gastric cancer (GC) is a multifactorial disease and the fifth most frequent diagnosed cancer worldwide. It accounts for one third of cancer-related mortalities. Geospatial analysis using geographical information systems (GIS) can provide an efficient solution to identify spatial disparities associated with GC. As such, GIS enables policymakers to control cancer in a better way and identify the regions where interventions are needed. This study aims to publish a comprehensive dataset, which was applied to conduct a spatial analysis of GC patients in the city of Mashhad, Iran. Data description We provide a personal geodatabase, a Microsoft Access database that can store, query, and manage both spatial and non-spatial data, which contains four feature classes. “Male_Stomach_Cancer_Patients” and “Female_Stomach_Cancer_Patients” are point feature classes, which show the age and geographical location of 1156 GC cancer patients diagnosed between 2014 and 2017. “Air_Polution_Mashhad” is another point feature class that reveals the amount of six air pollutants, which was taken from Mashhad Environmental Pollutants Monitoring Center between 2017 and 2018. Finally, “Stomach_Cancer_and_Risk_Factors” is a polygon feature class of neighborhood division of Mashhad, consisting of contributor risk factors including dietary habits, smoking, alcohol use, body mass index and population by age groups for all 165 city neighborhoods.

Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)

2016 ◽  
Vol 7 (3) ◽  
pp. 1-37
Author(s):  
Willington Siabato ◽  
Javier Moya-Honduvilla ◽  
Miguel Ángel Bernabé-Poveda
Keyword(s):  
Information Management ◽  
Spatial Data ◽  
Information Technologies ◽  
Geographic Information ◽  
Information Services ◽  
Air Traffic ◽  
Geographic Information Technologies ◽  
Web Architecture ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.

A Geographical Information System (GIS) study of Triassic vertebrate biochronology

2005 ◽  
Vol 142 (4) ◽  
pp. 327-354 ◽  
Author(s):  
E. J. RAYFIELD ◽  
P. M. BARRETT ◽  
R. A. McDONNELL ◽  
K. J. WILLIS
Keyword(s):  
Spatial Data ◽  
Geographical Information Systems ◽  
Western Europe ◽  
Temporal Distribution ◽  
Geographical Information ◽  
Late Triassic ◽  
Spatial And Temporal Scales ◽  
Potential Index ◽  
The Stability ◽  
Land Vertebrate

Geographical Information Systems (GIS) have been applied extensively to analyse spatial data relating to varied environmental issues, but have not so far been used to address biostratigraphical or macroevolutionary questions over extended spatial and temporal scales. Here, we use GIS techniques to test the stability, validity and utility of proposed Middle and Late Triassic ‘Land Vertebrate Faunachrons’ (LVFs), a global biostratigraphical framework based upon terrestrial/freshwater tetrapod occurrences. A database of tetrapod and megafloral localities was constructed for North America and Western Europe that also incorporated information on relevant palaeoenvironmental variables. This database was subjected to various spatial analysis techniques. Our GIS analysis found support at a global level for Eocyclotosaurus as an Anisian index taxon and probably Aetosaurus as a Norian indicator. Other tetrapod taxa are useful biostratigraphical/biochronological markers on a regional basis, such as Longosuchus and Doswellia for Late Carnian time. Other potential index fossils are hampered, however, by taxonomic instability (Mastodonsaurus, Metoposaurus, Typothorax, Paleorhinus, Pseudopalatus, Redondasaurus, Redondasuchus) and/or are not clearly restricted in temporal distribution (Paleorhinus, Angistorhinus, Stagonolepis, Metoposaurus and Rutiodon). This leads to instability in LVF diagnosis. We found only in the western Northern Hemisphere is there some evidence for an Anisian–Ladinian biochronological unit amalgamating the Perovkan and Berdyankian LVFs, and a possible late Carnian unit integrating the Otischalkian and Adamanian.Megaplants are generally not useful for biostratigraphical correlation in the Middle and Upper Triassic of the study area, but there is some evidence for a Carnian-age floral assemblage that corresponds to the combined Otischalkian and Adamanian LVFs. Environmental biases do not appear to strongly affect the spatial distribution of either the tetrapods or megaplants that have been proposed as index taxa in biostratigraphical schemes, though several examples of apparent environmental bias were detected by the analysis. Consequently, we argue that further revision and refinement of Middle and Late Triassic LVFs is needed before they can be used to support global or multi-regional biostratigraphical correlations. Caution should therefore be exercised when using the current scheme as a platform for macroevolutionary or palaeoecological hypotheses. Finally, this study demonstrates the potential of GIS as a powerful tool for tackling palaeontological questions over extended timescales.

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