scholarly journals Geovisualization Techniques of Spatial Environmental Data Using Different Visualization Tools

2020 ◽  
Vol 10 (19) ◽  
pp. 6701
Author(s):  
Dániel Balla ◽  
Marianna Zichar ◽  
Róbert Tóth ◽  
Emőke Kiss ◽  
Gergő Karancsi ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Data ◽  
Spatial Databases ◽  
Spatial Information ◽  
Central Area ◽  
Environmental Data ◽  
Cognitive Approach ◽  
North West ◽  
Distribution Maps ◽  
Sewage System

The appearance of online map services and frameworks (e.g., KML, QGIS) has increased the possibilities to easily, quickly and—in many cases—cost-effectively publish spatial data stored in databases. The aim of this study is to present the geovisualization of spatial databases of a Hungarian settlement on the web, using the open source webGIS system and Google application programming interfaces (APIs). The interactive point and interpolated distribution maps available online provide a detailed picture of the level of contamination, the spatial distribution of the ground water supply of the investigated settlement, and the changes which have occurred following the establishment of the sewage system. In the case of PO43− we determined that in the year before the sewage system was constructed, most of the area of the settlement could be considered contaminated, with the highest level of contamination measured in the central area of the settlement. Five years after the construction of the sewage system, the ratio of the contaminated areas had significantly decreased. In the case of NO3− we found a high level of contamination before the construction of the sewage system with a concentration increase in a North–West direction. After the establishment of the sewage system, the increase in concentration was the most intense in the central parts of the settlement, while the characteristic spatial distribution could no longer be observed. The geovisualization techniques developed are able to provide information about the different spatial data for users in a visual way, and also help to understand better the spatial information using a cognitive approach. The advantage of interactive web maps created with the technologies applied over traditional static maps is a new approach, which allows the user to manipulate the temporal and spatial data directly in the most appropriate way.

scholarly journals ELNAIS meets EASIN: distribution of marine alien species in Greece using EASIN mapping services and ELNAIS spatial data

2013 ◽  
Vol 14 (1) ◽  
pp. 95 ◽  
Author(s):  
S. KATSANEVAKIS ◽  
A. ZENETOS ◽  
D. POURSANIDIS ◽  
A.L. NUNES ◽  
I. DERIU ◽  
...  
Keyword(s):  
Alien Species ◽  
Spatial Data ◽  
Spatial Information ◽  
Easy Access ◽  
Accurate Information ◽  
Online Data ◽  
Distribution Maps ◽  
High Quality Information ◽  
Marine Alien Species ◽  
Lessepsian Migration

The European Alien Species Information Network (EASIN) was created with the aim to provide easy access to accurate information on alien species in Europe. EASIN allows the retrieval of spatial information from existing online data providers in order to produce integrated georeferenced distribution maps of alien species in Europe. In November 2012, a new data provider, the Ellenic Network on Aquatic Invasive Species (ELNAIS), joined EASIN; this has significantly increased the available georeferenced information on marine/estuarine alien species in Greek waters. Here, we use maps created by EASIN to show differences in patterns of distribution in Greece for the most abundant Phyla of marine alien species - Mollusca, Arthropoda, Chordata and Annelida. We also show that the two main pathways of introduction of marine alien species (Lessepsian migration and Shipping) are related to different patterns of species spatial distribution in Greece. Overall, the tools provided by EASIN can greatly aid scientists and policy makers in obtaining high quality information on marine alien species in Greece, especially after the association with ELNAIS.

scholarly journals Evaluation of the Equity of Urban Park Green Space Based on Population Data Spatialization: A Case Study of a Central Area of Wuhan, China

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2929 ◽  
Author(s):  
Tan ◽  
Tang ◽  
Wu
Keyword(s):  
Spatial Distribution ◽  
Spatial Data ◽  
Green Space ◽  
Demographic Data ◽  
Central Area ◽  
Population Data ◽  
Basic Unit ◽  
Urban Park ◽  
User Group ◽  
Total Study Area

To measure the equity of urban park green space, spatial matching between service supply and user group demand should be taken into consideration. However, if the demographic data, with the administrative division as the basic unit, are directly applied to characterize the spatial distribution of a user group, it may introduce inevitable deviation into the evaluation results due to the low-resolution nature and modifiable areal unit problem of such data. Taking the central area of Wuhan as an example, the population data spatialization method based on land use modeling was used to build a geographically weighted regression (GWR) model of land cover type and demographic data, and the spatial distribution of the population of the 150 m grid was obtained by inversion. Then, the equity of park green space in Wuhan central city was evaluated by population spatial data and network accessibility. The results showed that (1) the range of park green space in the central urban area of Wuhan was within a walking distance of 15 min, accounting for 25.8% of the total study area and covering 54.2% of the population in the study area; (2) the equity of park green space in Hongshan District was the worst; (3) and the use of population spatial data can measure equity on a more precise scale.

THE NEXT GENERATION SPATIAL DATA WAREHOUSE

2002 ◽  
Vol 42 (1) ◽  
pp. 633
Author(s):  
A.J. Yardley
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Essential Element ◽  
Spatial Location ◽  
Geographic Information ◽  
Environmental Data ◽  
Next Generation ◽  
Data Types ◽  
Political Boundaries ◽  
Access To Data

Woodside Energy, based in Perth, Western Australia, has commenced the implementation of its next generation spatial data warehousing and visualisation system. The warehouse facilitates access to data in various corporate geoscience data sets, as well as up-to-date cultural and environmental data. It expands the capabilities of the existing geoscience database by providing a facility to handle spatial data at the database level rather than in files and maps. Spatial data can now be kept in the database, in its correct spatial location, and with a known provenance.Woodside’s worldwide exploration, development and production activities require the use of a wide variety of geographic data such as seismic, bathymetry, wells, permits, coastlines, political boundaries, navigation charts, remote sensing and geological interpretations.Geo-spatial data comes to Woodside in a variety of formats, datums and conditions. The Geomatics Department, through the Geoscience Database and Spatial Information Management teams, loads, maintains and manages all data considered to be corporate. It is quality controlled and placed into the warehouse, where it is readily accessible to technical and administrative staff.Location is an essential element in most Woodside decisions. Because of the new spatial capabilities, a number of geographic information processes are now possible. Additionally information can also be made available through the internet if required.Reliable geographic information will become more widely available in the organisation, and be more easily merged with traditional data types, enhancing the decision-making process.

scholarly journals ELNAIS meets EASIN: distribution of marine alien species in Greece using EASIN mapping services and ELNAIS spatial data

2013 ◽  
Vol 14 (2) ◽  
pp. 95 ◽  
Author(s):  
S. KATSANEVAKIS ◽  
A. ZENETOS ◽  
D. POURSANIDIS ◽  
A.L. NUNES ◽  
I. DERIU ◽  
...  
Keyword(s):  
Alien Species ◽  
Spatial Data ◽  
Spatial Information ◽  
Easy Access ◽  
Accurate Information ◽  
Online Data ◽  
Distribution Maps ◽  
High Quality Information ◽  
Marine Alien Species ◽  
Lessepsian Migration

The European Alien Species Information Network (EASIN) was created with the aim to provide easy access to accurate information on alien species in Europe. EASIN allows the retrieval of spatial information from existing online data providers in order to produce integrated georeferenced distribution maps of alien species in Europe. In November 2012, a new data provider, the Ellenic Network on Aquatic Invasive Species (ELNAIS), joined EASIN; this has significantly increased the available georeferenced information on marine/estuarine alien species in Greece. Here, we use maps created by EASIN to show differences in patterns of distribution in the Greek Seas for the most abundant Phyla of marine alien species - Mollusca, Arthropoda, Chordata and Annelida. We also show that the two main pathways of introduction of marine alien species (Lessepsian migration and Shipping) are related to different patterns of species spatial distribution in Greece. Overall, the tools provided by EASIN can greatly aid scientists and policy makers in obtaining high quality information on marine alien species in Greece, especially after the association with ELNAIS.

scholarly journals Concept of spatial coordinate systems, their defining and implementation as a precondition in geospatial applications

2015 ◽  
Vol 95 (4) ◽  
pp. 77-102
Author(s):  
Zoran Nedeljkovic ◽  
Aleksandar Sekulic
Keyword(s):  
Geographic Information Systems ◽  
Coordinate System ◽  
Spatial Data ◽  
Spatial Databases ◽  
Spatial Information ◽  
Reference Network ◽  
Abstract Entity ◽  
Coordinate Systems ◽  
Definition Of ◽  
Geodetic Reference Frame

There are many users of spatial information, and quite large interest about the nature and genesis of such information. Different users found spatial information in the form of maps, plans or alphanumerical tables. Recently, there are more often in the form of spatial databases, and in the form of geographic information systems. What is behind these spatial data? On what foundation are they designed? In this article we look at the basic aspects of space, dimensionality and global coordinate systems in applications of global geospatial research. Here is explained the definition of the coordinate system as an abstract entity and, consequently, its implementation or establishment in the form of a geodetic reference frame, as real geodetic reference network. The applicative aspect of coordinate systems in this article is emphasized through recommendations and considerations during usage of their different implementations.

Support of Internal Transport Optimization in Farms with the Use of Spatial Information Systems

2020 ◽  
Vol 24 (4) ◽  
pp. 87-94
Author(s):  
Jakub Sikora ◽  
Anna Szeląg-Sikora ◽  
Zofia Gródek-Szostak ◽  
Marcin Niemiec ◽  
Joanna Stuglik
Keyword(s):  
Spatial Distribution ◽  
Data Base ◽  
Spatial Data ◽  
Agricultural Land ◽  
Spatial Information ◽  
Great Part ◽  
Agricultural Producers ◽  
East Region ◽  
Spatial Information Systems ◽  
Internal Transport

AbstractExcessive distribution of holdings is one of the most important barriers which causes that in a great part of Poland rational use of farms in impossible. This problem particularly concerns the south and east region of the country. Correct spatial distribution of lands belonging to holdings is one of the most crucial factors that enable an economically profitable activity of these farms. The aim of the paper was verification of the applicability of the prepared spatial data base, farm-land configuration of agricultural plots of the selected agricultural farms to indicate the areas of optimization of the internal transport. As a result, based on the developed spatial data base, an impact of the land configuration of agricultural plots in the investigated group of agricultural producers on organization of the field transport between the holding and agricultural plots was determined. The scope of the paper covered a vegetable producer group, which associates 5 farms that have in total 620 ha of agricultural land.

Integrity Constraints in Spatial Databases

2002 ◽  
pp. 144-171 ◽  
Author(s):  
Karla A.V. Borges ◽  
Clodoveu A. Davis Jr. ◽  
Alberto H.F. Laender
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Spatial Databases ◽  
Spatial Information ◽  
Spatial Relationship ◽  
Object Oriented ◽  
Database Management System ◽  
Geometric Constraints ◽  
Integrity Constraints ◽  
Spatial Relationships

This chapter addresses the relationship that exists between the nature of spatial information, spatial relationships, and spatial integrity constraints, and proposes the use of OMT-G (Borges et al., 1999; Borges et al., 2001), an object-oriented data model for geographic applications, at an early stage in the specification of integrity constraints in spatial databases. OMT-G provides appropriate primitives for representing spatial data, supports spatial relationships and allows the specification of spatial integrity rules (topological, semantic and user integrity rules) through its spatial primitives and spatial relationship constructs. Being an object-oriented data model, it also allows some spatial constraints to be encapsulated as methods associated to specific georeferenced classes. Once constraints are explicitly documented in the conceptual modeling phase, and methods to enforce the spatial integrity constraints are defined, the spatial database management system and the application must implement such constraints. This chapter does not cover integrity constraints associated to the representation of simple objects, such as constraints implicit to the geometric description of a polygon. Geometric constraints are related to the implementation, and are covered here in a higher level view, considering only the shape of geographic objects. Consistency rules associated with the representation of spatial objects are discussed in Laurini and Thompson (1992).

scholarly journals Efficient NN Spatial Keyword Search Using Spatial Inverted (SI) Index

2018 ◽  
Vol 7 (2.19) ◽  
pp. 17
Author(s):  
B.A. Vishnupriya ◽  
N. Senthamarai ◽  
S. Bharathi
Keyword(s):  
Spatial Data ◽  
Spatial Databases ◽  
Keyword Search ◽  
Spatial Information ◽  
Spatial Database ◽  
Spatial Relations ◽  
Base Station ◽  
Inverted File ◽  
File Structure ◽  
N Gram

"Spatial information mining", or learning revelation in spatial database, alludes to the illustration out of concealed information, spatial relations, or different examples that are not unequivocally put away in spatial databases. To get to the spatial database alongside the catchphrase another kind of inquiry called spatial watchword question is utilized. A spatial watchword inquiry get client area and client given catchphrases as contentions and gives web protests that are spatially and literarily material to these information. The current answers for such inquiries depend on IR2-tree that has a couple of inadequacies as space utilization and event of false hit is extremely huge when the question of the last outcome is far from the inquiry point .To beat this issue a novel file structure called Spatial Inverted file is proposed. Presently a-days use of portable is expanding enormously .In the versatile system an intermediary is set between base station and Location Based Server (LBS).This intermediary utilizes the Spatial modified file procedure to answer the SK inquiry by utilizing spatial data from the base station and printed data from the client question. The outcome from the SI record is given to two file structure in the intermediary called EVR Tree and Grid list. The Estimated Valid Region (EVR) for the present area of the client and required spatial articles are produced and come back to the client. On the off chance that the EVR is absent in the two file structure of intermediary it offer question to LBS. In the event that the client given inquiry is miss written or miss spelled it can be oversee by SI record utilizing n gram/2L Approximation file.

A Novel Approach for Automatic Matching and Updating Pipeline Data

2014 ◽  
Author(s):  
Michel Morgan ◽  
Lindsay Giles
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Environmental Data ◽  
Geometric Transformation ◽  
Business Partners ◽  
Novel Approach ◽  
Pipeline Project ◽  
Automatic Matching ◽  
Environmental Consulting ◽  
Different Sources

Pipelines are multidisciplinary projects from their planning, design, and construction to their maintenance and upgrade. The success of a pipeline project relies heavily on coordination among environmental assessment disciplines, clients, subcontractors, and vendors. Geographic information systems (GIS) play a major role in managing data and information across disciplines, and each environmental consulting company usually has at least one GIS department, which takes a lead role in maintaining current and historical data and information, and distributing it to various disciplines and business partners. We are developing a novel algorithm to utilize spatial data and convert it into useful geo-spatial information that a GIS department can directly utilize. Pipeline and environmental data from different sources undergo automatic registration, where common features between datasets are automatically detected and geometric transformation functions are automatically estimated. Experimental results demonstrate the robustness of the algorithm against changes or outliners and the accuracy of the transformation.

scholarly journals Open Source Based Deployment of Environmental Data into Geospatial Information Infrastructures

2013 ◽  
pp. 952-969 ◽  
Author(s):  
José Gil ◽  
Laura Díaz ◽  
Carlos Granell ◽  
Joaquín Huerta
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
New Technologies ◽  
Spatial Information ◽  
Environmental Data ◽  
Geospatial Information ◽  
Government Organizations ◽  
Geospatial Tools ◽  
Open Development ◽  
Data Infrastructures

Today, scientists use local and closed geospatial solutions to run their models and store their results. This may limit their ability to share their models, and results with other interested colleagues. This scenario is changing with the advent of new factors such as the rapid growth and rise of open source projects, or new paradigms promoted by government organizations to manage environmental data, such as Infrastructure for Spatial Information in the European Community (INSPIRE) directive, or the massive use of Web 2.0 techniques where users are looking for applications with a high degree of collaboration, interactiveness, and multimedia effects. Many authors address the versatility of Spatial Data Infrastructures where resources are shared and accessed via standard service according to complex specifications. In this context, the authors point out the need to merge the traditional building and maintenance of these infrastructures, driven by official providers, with these more participative methodologies where users can participate in creating and integrating information. It seems necessary to develop new geospatial tools which integrate these new trends. This paper proposes a unified solution offering to the scientific field an open development framework, based on standards and philosophies focused on new technologies and scientific needs.

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