scholarly journals Geo-online explanatory data visualization tools as crisis management and communication instruments

2021 ◽  
Vol 4 ◽  
pp. 1-8
Author(s):  
Silvia Grandi ◽  
Anna Bernasconi
Keyword(s):  
Data Visualization ◽  
Geographical Information Systems ◽  
Online Communication ◽  
Spatial Dimension ◽  
Decision Makers ◽  
Geographical Information ◽  
Disease Spread ◽  
Geospatial Information ◽  
Online Tools ◽  
Available Information

Abstract. Communication during emergency and crises times is a critical aspect. When available information contains a spatial dimension, maps and interactive localization features may help conveying strong messages to audiences that are otherwise difficult to reach. The COVID-19 pandemic has prompted the design and implementation of a great number of online tools to communicate data of the disease spread and its dynamics that are helpful to support informed decisions for both people in their everyday life and decision makers. Observing this phenomenon has inspired this conceptualization of the geo-Online Explanatory Data Visualization (geo-OEDV) tools, set in the context of available geospatial information, of statistical visualisation tools and of the solid tradition of Geographical Information Systems. Blending classical statistical tools, digital cartography, and the confluence of many elements into a single screen, has produced the currently most spread geo-OEDV instance, i.e., the geo-dashboard and geo-infographics. In particular this paper conceptualises geo-OEDV as a category of meta-cartography that blends online communication with cartographic representation and management principles.

INTEGRATING SCAT DATA AND GEOGRAPHICAL INFORMATION SYSTEMS TO SUPPORT SHORELINE CLEANUP OPERATIONS

1997 ◽  
Vol 1997 (1) ◽  
pp. 499-506 ◽  
Author(s):  
Alain Lamarche ◽  
Edward H. Owens
Keyword(s):  
Decision Making ◽  
Information System ◽  
Data Analysis ◽  
Data Collection ◽  
Software Package ◽  
Geographical Information Systems ◽  
Data Entry ◽  
Decision Makers ◽  
Geographical Information ◽  
Gis Technology

ABSTRACT An analysis of the work performed by the various teams involved in shoreline cleanup operations has been applied to the design of an approach for the integration of data collected by the SCAT process with electronic maps produced by geographical information system (GIS) technology. This has led to the implementation of a PC-based system that incorporates a database of SCAT information, a knowledge base on oil behavior and shoreline cleanup, and a GIS. The system provides support to data collection using the SCAT approach for field teams and to map-based data analysis for planners and managers. In the course of this work, a set of the maps that are considered the most useful for summarizing information about shoreline conditions was designed and evaluated. This evaluation initially involved consultation with individuals experienced in shoreline cleanup. The applicability of the map representation for decision making was further tested during spill drills. SCAT surveys generate a large volume of data that need to be captured and integrated. There is a risk that this large amount of information might overwhelm decision makers involved in the management of shoreline cleanup operations. The paper describes the various modifications that were made to the SHORECLEAN software package to provide some solutions to these problems. These include providing specialized SCAT data entry forms, automating the links between a SCAT database and a GIS, and producing map representations that provide clear, useful, and nonmisleading information for decision makers.

scholarly journals Google Earth, Google SketchUp and GIS software; An Interoperable Work Flow for Generating Elevation Data

2019 ◽  
Author(s):  
José Gomes dos Santos ◽  
Kevin Bento ◽  
Joaquim Lourenço Txifunga
Keyword(s):  
Geographical Information Systems ◽  
Satellite Image ◽  
Google Earth ◽  
Work Flow ◽  
Geographical Information ◽  
Geospatial Information ◽  
Territorial Planning ◽  
Elevation Data ◽  
Google Sketchup ◽  
Gis Software

Data creation is often the only way for researchers to produce basic geospatial information for the pursuit of more complex tasks and procedures such as those that lead to the production of new data for studies concerning river basins, slope morphodynamics, applied geomorphology and geology, urban and territorial planning, detailed studies, for example, in architecture and civil engineering, among others. This exercise results from a reflection where specific data processing tasks executed in Google Sketchup (Pro version, 2018) can be used in a context of interoperability with Geographical Information Systems (GIS) software. The focus is based on the production of contour lines and Digital Elevation Models (DEM) using an innovative sequence of tasks and procedures in both environments (GS and GIS). It starts in Google Sketchup (GS) graphic interface, with the selection of a satellite image referring to the study area—which can be anywhere on Earth's surface; subsequent processing steps lead to the production of elevation data at the selected scale and equidistance. This new data must be exported to GIS software in vector formats such as Autodesk Design Web format—DWG or Autodesk Drawing Exchange format—DXF. In this essay the option for the use of GIS Open Source Software (gvSIG and QGIS) was made. Correcting the original SHP by removing “data noise” that resulted from DXF file conversion permits the author to create new clean vector data in SHP format and, at a later stage, generate DEM data. This means that new elevation data becomes available, using simple but intuitive and interoperable procedures and techniques which confgures a costless work flow.

Including the spatial dimension: using geographical information systems in hydrology

1996 ◽  
Vol 20 (2) ◽  
pp. 159-177 ◽  
Author(s):  
R.A. McDonnell
Keyword(s):  
Information Systems ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Spatial Dimension ◽  
Geographical Information ◽  
Gis Technology ◽  
Gis Data ◽  
Spatial Data Models ◽  
The Many ◽  
Hydrological Applications

Developments in geographical information systems (GIS) technology have coincided with moves within hydrology to a more explicit accounting of space through distributed rather than lumped or topological representations. GIS support these spatial data models and provide integrating, measuring and analytical capabilities which have been used in many hydrological applications ranging from inventory and assessment studies through to process modelling. The many examples in the article illustrate how the technology has supported moves away from averaged value representations for catchments towards a greater inclusion of spatial variations in hydrological studies. While the potential of these systems is gradually being realized, there are still various issues, both technical and methodological, which at present limit their use. As new data sources become available, GIS data structures become more flexible and open, and, as the understanding of scale variations in processes improves, the possibilities for using the technology in hydrological research will expand.

scholarly journals Geographical Information Systems: A Tool to Map and Analyze Disease Spread

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Indumathi Srinath ◽  
Barbara Szonyi ◽  
Maria Esteve-Gassent ◽  
Blanca Lupiani ◽  
Raju Gautam ◽  
...  
Keyword(s):  
Information Systems ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Disease Spread

scholarly journals Open Data for web-mapping the dynamic of population of Uzbekistan

2021 ◽  
Vol 27 (4) ◽  
pp. 388-401
Author(s):  
Lola Gulyamova ◽  
Dilshod Rakhmonov
Keyword(s):  
Geographical Information Systems ◽  
Conceptual Development ◽  
Open Data ◽  
Cloud Service ◽  
Geographical Information ◽  
State Agencies ◽  
Geospatial Information ◽  
Web Mapping ◽  
Server Side ◽  
Map Data

This paper covers issues related to using Open Data for web mapping of the dynamic of population of Uzbekistan. Several ways are suggested for performing an analysis of patterns of dynamic of population. The web mapping is recommended as the preferable way for study the spatial distribution of the population and its change. The methods are described from the perspective of their relevance to the technical and conceptual development of interactive dynamic maps. The Open sources that are maintained by state agencies, committees, private companies and other institutions are used for web mapping. The peculiarities of development of Open Data in this country are analyzed with the purpose of applying geoinformation technologies for capturing geospatial information (GI). The model has been developed for using web mapping tools for combining ICT, GIS, interactive cartography and socio-economic data for retrieving GI from existing open resources. Some tools are suggested to bring together Open Data of different official sources by means of Geographical Information Systems. The model of web service is used for uploading map data to a cloud account, while cloud service handles all server-side. ArcGIS Online and other open software are applied for interactive mapping. The interaction with datasets for online mapping and spatial analysis is performed with the help of the cloud service of ArcGIS Online

scholarly journals A Conceptual Model for Geo-Online Exploratory Data Visualization: The Case of the COVID-19 Pandemic

Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 69
Author(s):  
Anna Bernasconi ◽  
Silvia Grandi
Keyword(s):  
Data Visualization ◽  
Spatial Information ◽  
Online Communication ◽  
Spatial Dimension ◽  
Data Types ◽  
Related Data ◽  
Exploratory Data ◽  
Visualization Tools ◽  
Communication Needs ◽  
Entity Relationship

Responding to the recent COVID-19 outbreak, several organizations and private citizens considered the opportunity to design and publish online explanatory data visualization tools for the communication of disease data supported by a spatial dimension. They responded to the need of receiving instant information arising from the broad research community, the public health authorities, and the general public. In addition, the growing maturity of information and mapping technologies, as well as of social networks, has greatly supported the diffusion of web-based dashboards and infographics, blending geographical, graphical, and statistical representation approaches. We propose a broad conceptualization of Web visualization tools for geo-spatial information, exceptionally employed to communicate the current pandemic; to this end, we study a significant number of publicly available platforms that track, visualize, and communicate indicators related to COVID-19. Our methodology is based on (i) a preliminary systematization of actors, data types, providers, and visualization tools, and on (ii) the creation of a rich collection of relevant sites clustered according to significant parameters. Ultimately, the contribution of this work includes a critical analysis of collected evidence and an extensive modeling effort of Geo-Online Exploratory Data Visualization (Geo-OEDV) tools, synthesized in terms of an Entity-Relationship schema. The COVID-19 pandemic outbreak has offered a significant case to study how and how much modern public communication needs spatially related data and effective implementation of tools whose inspection can impact decision-making at different levels. Our resulting model will allow several stakeholders (general users, policy-makers, and researchers/analysts) to gain awareness on the assets of structured online communication and resource owners to direct future development of these important tools.

scholarly journals Aggregate Analysis of Site-Specific Pollution Problems: The Case of Groundwater Contamination from Agriculture

1991 ◽  
Vol 20 (1) ◽  
pp. 83-97 ◽  
Author(s):  
James J. Opaluch ◽  
Kathleen Segerson
Keyword(s):  
Geographical Information Systems ◽  
National Level ◽  
Decision Makers ◽  
Geographical Information ◽  
Distribution Model ◽  
Site Specific ◽  
Nonpoint Sources ◽  
Sources Of Pollution ◽  
Local Decision ◽  
Local Decision Makers

Control of nonpoint sources of pollution has traditionally been within the domain of local decision makers in recognition of the critical importance of site-specific issues. More recently attention has turned to the issue of what can and should be done at the regional or national level, while recognizing the importance of site-specific attributes. This paper describes and illustrates an approach for analysis of nonpoint pollution problems that focuses jointly at the aggregate and disaggregate levels of the problem. The approach is based on linking two tools of analysis, the microparameter distribution model and the Geographical Information Systems (GIS). Although there are significant challenges to be overcome in implementing such an approach, linkage of these two policy tools has considerable promise in dealing with site-specific issues within an aggregate framework. Furthermore, GIS is potentially an important source of data for economists to exploit, given the momentum of GIS systems throughout the nation and given the relatively disaggregate nature of the data.

scholarly journals COVID-19 in Toronto: A Spatial Exploratory Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 498
Author(s):  
Eric Vaz
Keyword(s):  
Geographical Information Systems ◽  
Spatial Regression ◽  
Open Data ◽  
Global Scale ◽  
Geographical Information ◽  
Disease Spread ◽  
Modeling Framework ◽  
Large Cities ◽  
Monitoring Strategies ◽  
Global And Local

COVID-19 has had a significant impact on a global scale. Evident signs of spatial-explicit characteristics have been noted. Nevertheless, publicly available data are scarce, impeding a complete picture of the locational impacts of COVID-19. This paper aimed to assess, confirm, and validate several geographical attributes of the geography of the pandemic. A spatial modeling framework defined whether there was a clear spatial profile to COVID-19 and the key socio-economic characteristics of the distribution in Toronto. A stepwise backward regression model was generated within a geographical information systems framework to establish the key variables influencing the spread of COVID-19 in Toronto. Further to this analysis, spatial autocorrelation was performed at the global and local levels, followed by an error and lag spatial regression to understand which explanatory framework best explained disease spread. The findings support that COVID-19 is strongly spatially explicit and that geography matters in preventing spread. Social injustice, infrastructure, and neighborhood cohesion are evident characteristics of the increasing spread and incidence of COVID-19. Mitigation of incidents can be carried out by intertwining local policies with spatial monitoring strategies at the neighborhood level throughout large cities, ensuring open data and adequacy of information management within the knowledge chain.

scholarly journals Mapping Priority Areas for Apiculture Development with the Use of Geographical Information Systems

Agriculture ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 182
Author(s):  
Simeon Marnasidis ◽  
Apostolos Kantartzis ◽  
Chrisovalantis Malesios ◽  
Fani Hatjina ◽  
Garyfallos Arabatzis ◽  
...  
Keyword(s):  
Spatial Data ◽  
Geographical Information Systems ◽  
Environmental Planning ◽  
Decision Makers ◽  
Geographical Information ◽  
Spatial Data Analysis ◽  
Pollination Services ◽  
Priority Areas ◽  
Relative Attractiveness ◽  
Spatial Entities

Supporting local and central authorities in decision-making processes pertaining to environmental planning requires the adoption of scientific methods and the submission of proposals that could be implemented in practice. Taking into consideration the dual role that honeybees play as honey producers and crop pollinators, the aim of the present study is to identify and utilize a number of indicators and subsequently develop priority thematic maps. Previous research has focused on the determination of, and, on certain occasions, on mapping, priority areas for apiculture development, based mainly on the needs of honeybees, without taking into consideration the pollination needs of crops that are cultivated in these areas. In addition, research so far has been carried out in specific spatial entities, in contrast to the current study, in which the areas to be comparatively assessed are pre-chosen based on their geographical boundaries. The information derived from this process is expected to help decision-makers in local and regional authorities to adopt measures for optimal land use and sound pollination practices in order to enhance apiculture development at a local scale. To achieve this target, the study incorporates literature about the attractiveness of crops and plants to pollinating honeybees as well as the pollination services provided by honeybees, in combination with detailed vegetative land cover data. The local communities of each municipality were comparatively evaluated, by introducing three indicators through numerical and spatial data analysis: Relative Attractiveness Index (RAI), Relative Dependence Index (RDI), and Relative Priority Index (RPI). Based on these indicators, attractiveness, dependence, and priority maps were created and explained in detail. We suggest that a number of improvement measures that will boost pollination or honey production or both should be taken by decision-makers, based on the correlations between the aforementioned indicators and the exanimated areas. In addition, dependence maps can constitute a powerful tool for raising awareness among both the public and the farmers about the value of honeybees in pollination, thus reinforcing bee protection efforts undertaken globally. Attractiveness maps that provide a thorough picture of the areas that are sources of pollen and nectar can serve as a general guide for the establishment of hives in areas with high potential for beekeeping.

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