scholarly journals SeaGIS Abruzzo: A publicly available atlas of marine uses and natural resources in the Adriatic Sea Region

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Carla Ippoliti ◽  
Alessio Di Lorenzo ◽  
Riccardo Caprioli ◽  
Sandro Pelini ◽  
Annamaria Conte ◽  
...  
Keyword(s):  
Spatial Data ◽  
Adriatic Sea ◽  
Geographical Information ◽  
The European Union ◽  
Resource Exploitation ◽  
Web Based ◽  
Digital Repositories ◽  
Sea Bottom ◽  
Share Data ◽  
Cross Border Cooperation

In the Adriatic Sea, the European Union supported a cross-border cooperation research program, during which digital spatial data on shellfish production and relaying areas, regulated conditions on fishing activities, protected areas and restocking structures, administrative boundaries and sea bottom characteristics, were collated from digital repositories in various institutions and paper documents. A web-based geographical information system was developed to share data of the sea facing the Abruzzi region and to explore the spatial distribution of marine resources and maritime activities, thus focussing and facilitating fisheries management and providing a potential support to the regional planning of resource exploitation.

Spatial Autocorrelation and Association Measures

2011 ◽  
pp. 1502-1508
Author(s):  
J. Negreiros ◽  
M. Painho ◽  
I. Lopes ◽  
A.C. Costa
Keyword(s):  
Spatial Analysis ◽  
Spatial Autocorrelation ◽  
Spatial Data ◽  
Regional Analysis ◽  
Geographical Information ◽  
Association Measures ◽  
Share Data ◽  
Definition Of ◽  
Graphic Database

Several classical statements relating to the definition of GIS can be found in specialized literature such as the GIS International Journal, expressing the idea that spatial analysis can somehow be useful. GIS is successful not only because it integrates data, but it also enables us to share data in different departments or segments of our organizations. I like this notion of putting the world’s pieces back together again (ArcNews, 2000). “GIS is simultaneously the telescope, the microscope, the computer and the Xerox machine of regional analysis and the synthesis of spatial data” (Abler, 1988). “GIS is a system of hardware, software and liveware implemented with the aim of storing, processing, visualizing and analyzing data of a spatial nature. Other definitions are also possible” (Painho, 1999). “GIS is a tool for revealing what is otherwise invisible in geographical information” (Longley, Goodchild, Maguire, & Rhind, 2001). Certainly, GIS is not a graphic database.

scholarly journals WebGIS as boundary tools between scientific geoinformation and disaster risk reduction action in volcanic areas

2014 ◽  
Vol 14 (6) ◽  
pp. 1591-1598 ◽  
Author(s):  
G. Le Cozannet ◽  
M. Bagni ◽  
P. Thierry ◽  
C. Aragno ◽  
E. Kouokam
Keyword(s):  
Spatial Data ◽  
Volcanic Hazards ◽  
Geographical Information ◽  
Specific Information ◽  
Web Based ◽  
Mount Cameroon ◽  
Ash Fall ◽  
Security Officers ◽  
The Status ◽  
Hazard And Risk

Abstract. As the amount of spatial data is growing, there is increased interest in developing tools to explore, visualize and interpret them, with the final aim of informing decision making efficiently. Within the European MIAVITA project, we examined this issue in the case of volcanic areas, where existing geospatial databases are particularly complex due to the number of threats to be considered, including volcanic (e.g. lava flows, ash fall) and non-volcanic hazards, such as landslides or tsunamis. We involved a group of hazard and risk analysts and managers, civil security officers, GIS analysts and system developers to design a Web-based geographical information system (WebGIS). We tested the system at the Mount Cameroon volcano, taking advantage of a complex hazard and risk geographical database. This study enabled identifying key requirements for such tools in volcanic areas, such as the need to manage user privileges differently according to their profile and the status of the volcano. This work also highlights that, in addition to the development of large geoinformation clearinghouses, there is a need for site-specific information systems focused on working procedures of users, in order to fill the last gap between data producers and users.

scholarly journals Effective Collaborative Mapping Based on Mobile Devices

2017 ◽  
Vol 65 (6) ◽  
pp. 2067-2072
Author(s):  
Ivo Pisařovic ◽  
David Procházka ◽  
Jaromír Landa ◽  
Jan Kolomazník ◽  
Karel Zídek ◽  
...  
Keyword(s):  
Real Time ◽  
Spatial Data ◽  
Time Synchronization ◽  
Geographical Information ◽  
Time Data ◽  
Service Workers ◽  
Rescue Service ◽  
Share Data ◽  
Multiple Devices ◽  
Field Workers

There are numerous situations when it is utmost important to share efficiently some spatial data among a group of people. Floods can be taken as an obvious example. Many stakeholders including mayor or rescue service workers must have actual information about the conditions in the terrain. And most importantly, all of these can contribute to the information. Among these situations involving the crisis management, we dare to mention especially the inventory process. Traffic signs, road lanes, trees, lights and many other different object must be regularly maintained. Most of the organizations use some kind of geographical information system to keep the information about the maintained property. Our article is focused on development of mobile application that allows to acquire spatial data that are later used in these information systems. Thanks to real-time data synchronization between multiple devices, field workers can cooperate and share data immediately to an operating center or with the other workers. We describe the design of our mobile mapping application, comparison with other existing solutions and problems of real-time synchronization between different devices. Finally, we provide details about application usage in different municipalities.

scholarly journals ATES: a geo-informatics decision aid tool for the integration of groundwater into land planning

2015 ◽  
Vol 17 (5) ◽  
pp. 771-788 ◽  
Author(s):  
Roxane Lavoie ◽  
Florent Joerin ◽  
Manuel Rodriguez
Keyword(s):  
Spatial Data ◽  
Multicriteria Analysis ◽  
Primary Source ◽  
Geographical Information ◽  
Mitigation Measures ◽  
Land Planning ◽  
Web Based ◽  
Contamination Risk ◽  
Spatial Data Integration ◽  
Hydrogeological Data

Groundwater is the primary source of drinking water for small municipalities and individuals. However, groundwater can be polluted by almost any land use. Consequently, many governments have acquired groundwater information in the aim of protecting the resource. Nevertheless, the resulting data are often ill-fitted to planning needs. In a previous study, a method was developed to help planners interpret hydrogeological data. It combines land planning and hydrogeological data through multicriteria analysis, in order to obtain groundwater contamination risk maps. The method proved efficient and useful. However, it could not be easily implemented by land planners, who do not always have training with these types of data and geographical information system (GIS). This paper presents how the method was integrated into a web-based interface called Aménagement du Territoire et Eau Souterraine (ATES). ATES allows planners to view groundwater basic maps, evaluate the present contamination risk for groundwater, and analyse new planning scenarios. ATES also suggests mitigation measures and offers tools to discuss the possible solutions. The tool has been developed, tested and validated with land planners. To our knowledge, it is the first geo-informatics tool developed especially for planners that aims at facilitating the incorporation of groundwater into planning. Moreover, an innovative approach called MACBETH was used for data aggregation, a novelty in groundwater management and spatial data integration.

scholarly journals Geographic Data and Information for Teaching and Learning

2016 ◽  
Vol 4 ◽  
pp. 112-119
Author(s):  
Linas Bevainis ◽  
Andrius Balčiūnas
Keyword(s):  
Spatial Data ◽  
Teaching And Learning ◽  
Spatial Information ◽  
Real Data ◽  
Geographical Information ◽  
State Enterprise ◽  
The European Union ◽  
Information Portal ◽  
Spatial Data Sets ◽  
The Republic

In this article, the authors present Lithuanian spatial information portal, its services and the availability to use in education process. Lithuanian spatial information portal created in 2008 year developing the project "Lithuanian infrastructure for geographical information, which was financed by the Republic of Lithuania and the European Union. The project is performed by the National Land Service under the Ministry of Agriculture and the State Enterprise Remote Sensing and Geoinformatics "GIS-Center". This article provides information about the LEI portal where you can find methodical and educational material, maps, spatial data sets, documents, help texts, geographic information terms, so teachers and students can use real data and create maps, or properly use geoportal.lt provided tools to deal with tasks.

PERANCANGAN SISTEM INFORMASI GEOGRAFIS PARIWISATA BERBASIS WEB DI DINAS KEPEMUDAAN DAN OLAHRAGA DAN PARIWISATA KABUPATEN KEBUMEN

2019 ◽  
Vol 2 (1) ◽  
pp. 23-34
Author(s):  
Ari Waluyo ◽  
Satria Budi Santoso
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
System Development ◽  
Unified Modeling Language ◽  
Geographic Information ◽  
Geographical Information ◽  
Web Based ◽  
Unified Modeling ◽  
Tourism Information ◽  
Object Oriented Approach

The purpose of this research is to know the geographic information system of tourism that is in Dinas Kepemudaan dan Olahraga dan Pariwisata Kebumen Regency and develop it Research methods used by doing observationin Dinas Kepemudaan dan Olahraga dan Pariwisata Kebumen Regency, then proceed with the system development method. the research method used is by the method of SDLC (System Development Life Cycle). By using the Software Notepad ++ to build tourism Geographical Information System web-based. PHP as a programming language, MySQL as the database server and the design of the map using the Google Maps API. The object-oriented approach that is used UML (Unified Modeling Language) can explain the flow of the existing system. Dinas Kepemudaan dan Olahraga dan Pariwisata Kebumen Regency has been doing promotion through mass media such as newspapers and brochures in the delivery of information. But the way is not enough to inform tourism and places of attractions. It is therefore through the design of Geographical information system of tourism was able to resolve the issue. After the results of the study of geographic information systems is expected delivery of tourism information becomes more widespread, and the tourists could be quick and precise in finding information a tourist want to visit.

scholarly journals Semantics of Voids within Data: Ignorance-Aware Machine Learning

2021 ◽  
Vol 10 (4) ◽  
pp. 246
Author(s):  
Vagan Terziyan ◽  
Anton Nikulin
Keyword(s):  
Spatial Data ◽  
Information Science ◽  
Nearest Neighbor ◽  
Geographical Information ◽  
Two Dimensional ◽  
Prototype Selection ◽  
Data Space ◽  
Important Concern ◽  
Traditional Classification ◽  
Nearest Neighbor Classifiers

Operating with ignorance is an important concern of geographical information science when the objective is to discover knowledge from the imperfect spatial data. Data mining (driven by knowledge discovery tools) is about processing available (observed, known, and understood) samples of data aiming to build a model (e.g., a classifier) to handle data samples that are not yet observed, known, or understood. These tools traditionally take semantically labeled samples of the available data (known facts) as an input for learning. We want to challenge the indispensability of this approach, and we suggest considering the things the other way around. What if the task would be as follows: how to build a model based on the semantics of our ignorance, i.e., by processing the shape of “voids” within the available data space? Can we improve traditional classification by also modeling the ignorance? In this paper, we provide some algorithms for the discovery and visualization of the ignorance zones in two-dimensional data spaces and design two ignorance-aware smart prototype selection techniques (incremental and adversarial) to improve the performance of the nearest neighbor classifiers. We present experiments with artificial and real datasets to test the concept of the usefulness of ignorance semantics discovery.

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.

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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