Participatory Geographic Information Systems Within a Crowdsourcing Environment, With Special Reference to Volunteered Geographic Information

2018 ◽  
pp. 392-419
Author(s):  
Mulalu I. Mulalu
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Web Gis ◽  
Problem Analysis ◽  
Web 3.0 ◽  
Web Mapping ◽  
Digital Mapping ◽  
Geographic Data ◽  
Exploratory Data

Geographic Information Systems (GIS) are essentially concerned with fixing locations of features and attaching data to them. This geographic data is subsequently used in spatial analysis as a means to support problem analysis and solution modeling through exploratory data analysis and experimentation with various alternative solutions. Ultimately GIS is used for informed decision making. With the advent of technologies that support participation, digital mapping, Global Positioning System (GPS), the internet, Web Mapping, Web GIS, Web 2.0 and Web 3.0 technologies and smart phones, many people all over the world have become capacitated to collect and communicate geo-tagged multimedia information, a phenomenon that is known as crowdsourcing. One example of crowdsourcing is incorporating geotagged information collected by volunteers into a GIS. Consequently, crowdsourcing facilitates PGIS to become a powerful practice that can be leveraged to collect geographic data over extensive landscapes and often in near real time.

Participatory Geographic Information Systems Within a Crowdsourcing Environment, With Special Reference to Volunteered Geographic Information

2019 ◽  
pp. 842-868
Author(s):  
Mulalu I. Mulalu
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Web Gis ◽  
Problem Analysis ◽  
Web 3.0 ◽  
Web Mapping ◽  
Digital Mapping ◽  
Geographic Data ◽  
Exploratory Data

Geographic Information Systems (GIS) are essentially concerned with fixing locations of features and attaching data to them. This geographic data is subsequently used in spatial analysis as a means to support problem analysis and solution modeling through exploratory data analysis and experimentation with various alternative solutions. Ultimately GIS is used for informed decision making. With the advent of technologies that support participation, digital mapping, Global Positioning System (GPS), the internet, Web Mapping, Web GIS, Web 2.0 and Web 3.0 technologies and smart phones, many people all over the world have become capacitated to collect and communicate geo-tagged multimedia information, a phenomenon that is known as crowdsourcing. One example of crowdsourcing is incorporating geotagged information collected by volunteers into a GIS. Consequently, crowdsourcing facilitates PGIS to become a powerful practice that can be leveraged to collect geographic data over extensive landscapes and often in near real time.

scholarly journals ERAS OF WEB MAPPING DEVELOPMENTS: PAST, PRESENT AND FUTURE

2016 ◽  
Vol XLI-B4 ◽  
pp. 247-252 ◽  
Author(s):  
Bert Veenendaal
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Small Group ◽  
Geographic Information ◽  
Multiple Sources ◽  
Geospatial Information ◽  
Web Based ◽  
Web Mapping ◽  
Web Map ◽  
The Past

Developments in web mapping and web based geographic information systems (GIS) have evolved rapidly over the past two decades. What began as online map images available to a small group of geospatial experts and professionals has developed to a comprehensive and interactive web map based on integrated information from multiple sources and manipulated by masses of users globally. This paper introduces a framework that outlines the eras of web mapping and significant developments among those eras. From this framework, some of the influences and trends can be determined, particularly those in relation to the development of technologies and their relation to the growth in the number and diversity of users and applications that utilise web mapping and geospatial information online.

scholarly journals ERAS OF WEB MAPPING DEVELOPMENTS: PAST, PRESENT AND FUTURE

2016 ◽  
Vol XLI-B4 ◽  
pp. 247-252
Author(s):  
Bert Veenendaal
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Small Group ◽  
Geographic Information ◽  
Multiple Sources ◽  
Geospatial Information ◽  
Web Based ◽  
Web Mapping ◽  
Web Map ◽  
The Past

Developments in web mapping and web based geographic information systems (GIS) have evolved rapidly over the past two decades. What began as online map images available to a small group of geospatial experts and professionals has developed to a comprehensive and interactive web map based on integrated information from multiple sources and manipulated by masses of users globally. This paper introduces a framework that outlines the eras of web mapping and significant developments among those eras. From this framework, some of the influences and trends can be determined, particularly those in relation to the development of technologies and their relation to the growth in the number and diversity of users and applications that utilise web mapping and geospatial information online.

Interrelationships between Web-GIS and E-Collaboration Research

2011 ◽  
pp. 405-410
Author(s):  
Michele Masucci
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
System Design ◽  
User Interfaces ◽  
Spatial Information ◽  
Geographic Information ◽  
Web Gis ◽  
Computer Hardware ◽  
The Internet ◽  
Gis Applications

Geographic information systems (GIS) refers to the computer hardware and software that supports the management and analysis of spatial information. There has been a recent increase in the development of Internet accessible GIS applications, called Web- GIS (Al-Kodmany, 2001; Carver, Evans, Kingston, & Turton, 2000). Web-GIS facilitates participation among stakeholders through disseminating user interfaces for storing, accessing, and analyzing spatial information using the Internet (Al-Kodmany, 2001; Carver et al., 2000; Dragicevic & Balram, 2004). Participatory and community GIS approaches focus on system design that supports collaboration among organizations serving and representing interests of many constituent groups, including nontechnical users (Carver, 2003; Craig, Harris, & Weiner, 2002; Drew, 2003; Elwood & Ghose, 2004; Elwood & Leitner, 2003; Ghose, 2005; Ghose& Elwood, 2003; Kyem, 2004; Seiber, 2003).

scholarly journals Blind Digital Watermarking Algorithm against Projection Transformation for Vector Geographic Data

2020 ◽  
Vol 9 (11) ◽  
pp. 692
Author(s):  
Qifei Zhou ◽  
Na Ren ◽  
Changqing Zhu ◽  
A-Xing Zhu
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Digital Watermarking ◽  
Geographic Information ◽  
Experimental Results ◽  
Superior Performance ◽  
Blind Detection ◽  
Geographic Analysis ◽  
Geographic Data ◽  
Projection Transformation

Projection transformation is an important part of geographic analysis in geographic information systems, which are particularly common for vector geographic data. However, achieving resistance to projection transformation attacks on watermarking for vector geographic data is still a challenging task. We proposed a digital watermarking against projection transformation based on feature invariants for vector geographic data in this paper. Firstly, the features of projection transformation are analyzed, and the number of vertices, the storage order, and the storage direction of two adjacent objects are designed and used as the feature invariant to projection transformation. Then, the watermark index is calculated by the number of vertices of two adjacent objects, and the embedding rule is determined by the storage direction of two adjacent objects. Finally, the proposed scheme performs blind detection through the storage direction of adjacent features. Experimental results demonstrate that the method can effectively resist arbitrary projection transformation, which indicates the superior performance of the proposed method in comparison to the previous methods.

scholarly journals Áreas de Potencial Arqueológico na Região do Médio Tejo: Modelo Espacial Preditivo

2020 ◽  
pp. 203-222
Author(s):  
Rita Ferreira Anastácio ◽  
Ana Filipa Martins ◽  
Luiz Oosterbeek
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Model ◽  
Spatial Models ◽  
Geographic Information ◽  
Archaeological Sites ◽  
Research Project ◽  
Model Based ◽  
Geographic Data ◽  
Binary Addition

This article presents the results of the construction of an Archaeological Predictive Spatial Model based on the analysis of a set of variables. The main objective of this study is to identify areas of archaeological potential for archaeological exploration, for the Médio Tejo Region. This areas are more likely to occur in new sites, through the application of predictive spatial models, starting from a base of geographic data from archaeological sites compiled and updated in their various chronologies, and modeled through Geographic Information Systems, within the framework of the MTAS research project, supported by FCT. Thus, through an essentially statistical, descriptive and univariate methodology and using two methods - the method of binary addition and the method of weights - the areas with potential for prospecting new archaeological sites were obtained for the Médio Tejo Region.

Digitize and punish: Computerized crime mapping and racialized carceral power in Chicago

2017 ◽  
Vol 35 (5) ◽  
pp. 775-796 ◽  
Author(s):  
Brian Jordan Jefferson
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Urban Space ◽  
Ethnic Studies ◽  
Geographic Information ◽  
Surplus Labor ◽  
The Public ◽  
Digital Mapping ◽  
Urban Policing ◽  
The Social

While critical attention has recently turned to racialized police violence in US cities, another quiet development in urban policing is taking place. Hundreds of police departments have begun to wed database software with geographic information systems to represent crime cartographically. Focusing on the Chicago police’s digital mapping application, CLEARmap, the article interprets this development from the standpoint of racialized carceral power. It puts critical geographic information systems theory into discussion with critical ethnic studies and builds the case that CLEARmap does not passively “read” urban space, but provides ostensibly scientific ways of reading and policing negatively racialized fractions of surplus labor in ways that reproduces, and in some instances extends the tentacles of carceral power. CLEARmap’s data structure ensures that negatively racialized fractions of surplus labor, the places they inhabit, and the social problems that afflict them are only representable to state authorities and the public as objects of policing and punishment. CLEARmap is also used at police–community meetings and via the Internet to adapt public perceptions of crime to that of the policing apparatus, and mobilize the public as appendages of police surveillance. By tracing these phenomena, the article casts a heretofore untheorized dimension of the carceral power into sharp relief.

COOPERATIVE MODELING IN APPLIED GEOGRAPHIC RESEARCH

1994 ◽  
Vol 03 (01) ◽  
pp. 83-102 ◽  
Author(s):  
GUSTAVO ALONSO ◽  
AMR EL ABBADI
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Cooperative Work ◽  
Multiple Sources ◽  
Gis Technology ◽  
Ground Observation ◽  
Geographic Data ◽  
Weather Stations

The characteristics of geographic data and the nature of geographic research require the participation of many agents. Data is generated by multiple sources (satellites, ground observation, weather stations, photography, etc.), accessed, processed and transformed by many users and available for use to an even larger population of users. Lack of coordination among all these different agents may render large amounts of work useless. Most existing GIS (Geographic Information Systems) do not provide any support for cooperative work, which adds to the problem. To overcome this serious limitation while still allowing users to take advantage of GIS technology, we propose GOOSE, a system implemented as a top layer for existing GIS. GOOSE provides the tools for constructing large geographic models in a cooperative environment with potentially many users and participants.

Sign in / Sign up

Export Citation Format

Share Document