scholarly journals ENGAGING YOUTH THROUGH SPATIAL SOCIO-TECHNICAL STORYTELLING, PARTICIPATORY GIS, AGENT-BASED MODELING, ONLINE GEOGAMES AND ACTION PROJECTS

2017 ◽  
Vol IV-4/W3 ◽  
pp. 55-62 ◽  
Author(s):  
A. Poplin ◽  
L. Shenk ◽  
C. Krejci ◽  
U. Passe
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Future Research ◽  
Participatory Gis ◽  
Agent Based ◽  
Des Moines ◽  
First Results ◽  
Future Research Directions ◽  
Action Projects

The main goal of this paper is to present the conceptual framework for engaging youth in urban planning activities that simultaneously create locally meaningful positive change. The framework for engaging youth interlinks the use of IT tools such as geographic information systems (GIS), agent-based modelling (ABM), online serious games, and mobile participatory geographic information systems with map-based storytelling and action projects. We summarize the elements of our framework and the first results gained in the program Community Growers established in a neighbourhood community of Des Moines, the capital of Iowa, USA. We conclude the paper with a discussion and future research directions.

Collaborative Geographic Information Systems

2010 ◽  
pp. 270-287
Author(s):  
Shivanand Balram
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
General Public ◽  
Research Area ◽  
Geographic Information ◽  
Planning Problem ◽  
Participatory Gis ◽  
Working Definition ◽  
The Individual ◽  
Collaborative Gis

This chapter describes the origins, boundaries, and structures of collaborative geographic information systems (CGIS). A working definition is proposed, together with a discussion about the subtle collaborative vs. cooperative distinction, and culminating in a philosophical description of the research area. The literatures on planning and policy analysis, decision support systems, and geographic information systems (GIS) and science (GIScience) are used to construct a historical footprint. The conceptual linkages between GIScience, public participation GIS (PPGIS), participatory GIS (PGIS), and CGIS are also outlined. The conclusion is that collaborative GIS is centrally positioned on a participation spectrum that ranges from the individual to the general public, and that an important goal is to use argumentation, deliberation, and maps to clearly structure and reconcile differences between representative interest groups. Hence, collaborative GIS must give consideration to integrating experts with the general public in synchronous and asynchronous space-time interactions. Collaborative GIS provides a theoretical and application foundation to conceptualize a distributive turn to planning, problem solving, and decision making.

scholarly journals Development of a geographic information system for data collection and analysis based on microservice architecture

2021 ◽  
Author(s):  
A.A. Dontsov ◽  
I.A. Sutorikhin
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Software Implementation ◽  
Geoinformation System ◽  
Data Collection And Analysis ◽  
State Of Water ◽  
First Results ◽  
Main Components ◽  
Microservice Architecture

The paper discusses the use of microservice architecture in the development of geographic information systems (GIS) for collecting, processing and analyzing data. As a rule, microservice architecture is used to build applications in information systems related to solving business problems, and is not widespread in the development of geographic information systems in the scientific field. However, its application is now becoming increasingly important. Decomposition of the software implementation and GIS infrastructure associated with computations and data processing into components in the form of microservices has a number of advantages, such as: increased fault tolerance, increased flexibility, reduced maintenance effort, simplified scaling, and others. The first results of the application of the microservice approach in the development of a geoinformation system for the collection and processing of hydrological and hydrobiological data on the state of water bodies are shown. The architecture, main components, and features of the information infrastructure are shown.

Collaborative Geographic Information Systems

2008 ◽  
pp. 325-341
Author(s):  
Shivanand Balram ◽  
Suzana Dragicevic
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
General Public ◽  
Research Area ◽  
Geographic Information ◽  
Planning Problem ◽  
Participatory Gis ◽  
Working Definition ◽  
The Individual ◽  
Collaborative Gis

This study describes the origins, boundaries, and structures of collaborative geographic information systems (CGIS). A working definition is proposed, together with a discussion about the subtle collaborative vs. cooperative distinction, and culminating in a philosophical description of the research area. The literatures on planning and policy analysis, decision support systems, and geographic information systems (GIS) and science (GIScience) are used to construct a historical footprint. The conceptual linkages between GIScience, public participation GIS (PPGIS), participatory GIS (PGIS), and CGIS are also outlined. The conclusion is that collaborative GIS is centrally positioned on a participation spectrum that ranges from the individual to the general public, and that an important goal is to use argumentation, deliberation, and maps to clearly structure and reconcile differences between representative interest groups. Hence, collaborative GIS must give consideration to integrating experts with the general public in synchronous and asynchronous space-time interactions. Collaborative GIS provides a theoretical and application foundation to conceptualize a distributive turn to planning, problem solving, and decision making.

scholarly journals Combining Geographic Information Systems and Agent-Based Models in Archaeology: Part 2 of 3

2019 ◽  
Author(s):  
Benjamin Davies ◽  
Iza Romanowska ◽  
Kathryn Harris ◽  
Stefani Crabtree
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Data ◽  
Social Dynamics ◽  
Geographic Information ◽  
Agent Based Modeling ◽  
Geospatial Technologies ◽  
Agent Based ◽  
Collection And Management ◽  
Static Nature

Archaeologists are using spatial data in increasingly sophisticated analyses and invoking more explicit considerations of space in their interpretations. Geographic information systems (GIS) have become standard technology for professional archaeologists in the collection and management of spatial data. Many calls have been made to develop and adapt digital geospatial technologies for interpretation and understanding past social dynamics, but this has been limited to some extent by the static nature of map-oriented GIS approaches. Here, we illustrate how coupling GIS with agent-based modeling (ABM) can assist with more dynamic explorations of past uses of space and geospatial phenomena.

scholarly journals DEVELOPMENT OF A GEOGRAPHIC INFORMATION SYSTEM BASED ON MICROSERVICE ARCHITECTURE

2021 ◽  
Vol 4 (1) ◽  
pp. 41-44
Author(s):  
Alexander A. Dontsov ◽  
Igor A. Sutorikhin
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Scientific Field ◽  
Software Implementation ◽  
Geoinformation System ◽  
State Of Water ◽  
First Results ◽  
Main Components ◽  
Microservice Architecture

The paper discusses the use of microservice architecture in the development of distributed geographic information systems (GIS) for collecting, processing and analyzing data. Microservice architecture is used to build applications in information systems related to solving business problems, and is not widespread in the development of geographic information systems in the scientific field. However, its application is now becoming increasingly important. Decomposition of the software implementation and GIS infrastructure associated with computations and data processing into components in the form of microservices has a number of advantages, such as: increased fault tolerance, increased flexibility, reduced maintenance effort, simplified scaling, and others. The first results of the application of the microservice approach in the development of a geoinformation system for the collection and processing of hydrological and hydrobiological data on the state of water bodies are shown. The architecture, main components, and features of building infrastructure are shown.

scholarly journals Combining Geographic Information Systems and Agent-Based Models in Archaeology: Part 2 of 3

2019 ◽  
Vol 7 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Benjamin Davies ◽  
Iza Romanowska ◽  
Kathryn Harris ◽  
Stefani A. Crabtree
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Data ◽  
Social Dynamics ◽  
Geographic Information ◽  
Agent Based Modeling ◽  
Geospatial Technologies ◽  
Agent Based ◽  
Collection And Management ◽  
Static Nature

ABSTRACTArchaeologists are using spatial data in increasingly sophisticated analyses and invoking more explicit considerations of space in their interpretations. Geographic information systems (GIS) have become standard technology for professional archaeologists in the collection and management of spatial data. Many calls have been made to develop and adapt digital geospatial technologies for interpretation and understanding past social dynamics, but this has been limited to some extent by the static nature of map-oriented GIS approaches. Here, we illustrate how coupling GIS with agent-based modeling (ABM) can assist with more dynamic explorations of past uses of space and geospatial phenomena.

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