Assessing Spatial Data Quality of Participatory Gis Studies: A Case Study in Cape Town

Musungu, Kevin

doi:10.5194/isprsannals-ii-2-w2-75-2015

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…The perception of each respondent about the exact size of the measures is different, which causes many differences in the quantitative measurements of flood depth between the information from the respondents and the data obtained in the field. This finding is the same as that of Musungu ( 2015 ), who has mentioned this regarding the results from participatory mapping, which are mostly in the form of public perceptions with various measurements that are more qualitative than quantitative data. However, qualitative data obtained from participatory mapping has high accuracy because the respondents are people who have lived in the area for a long time, so they have rich knowledge of the conditions of the area.…”

Section: Discussionsupporting

confidence: 86%

Empowering local leaders in flood inundation mapping in Bagelen, Purworejo, Central Java

Purwitaningsih

Sartohadi

Muta’ali

et al. 2022

Jàmbá

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This article discusses the reliability of flood inundation information that is obtained from participatory mapping. The commonly applied method to map flood inundation requires both direct and interpretive measurement data based on remote sensing images. Such assessments have limited availability of data; as a result, participatory mapping has become the solution. A number of studies have conducted participatory mapping to obtain flood hazard information in areas with limited sources of data, however, there has been little discussion about its reliability. This research conducted participatory flood inundation mapping by involving local leaders as respondents. The mental map drawn by the local leaders was digitised to obtain a shapefile format map. The information obtained from the semistructured interview was then included in the geographic information system (GIS) data as attributes. The obtained information was compared with the field data to determine its quality. A literature study was then conducted to discuss how the participatory mapping could support managing a disaster. Information obtained through participatory mapping can be effectively applied to disaster management because of its precise location information, lower cost and less time-consuming nature. The reliability of the information has weak accuracy of quantitative data; however, it has advantages in terms of qualitative data, especially in the detailed descriptions of flood information. In the future, participatory mapping should rely on integrating the perspectives of cross-disciplinary researchers, a comprehensive study of multidisciplinary knowledge and level of understanding of the stakeholders.

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Section: Discussionsupporting

confidence: 86%

Empowering local leaders in flood inundation mapping in Bagelen, Purworejo, Central Java

Purwitaningsih

Sartohadi

Muta’ali

et al. 2022

Jàmbá

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“…Recommendations for integrating GIS into systematic inventory approaches include incorporating spatial and temporal data components, ensuring regular updates of data sets, and fostering data exchange among relevant agencies. Community participation and cross-referencing available data sources are essential for effective GIS integration and enhancing the systematic inventory approach to studying coastal informal settlements, as suggested by the respondent and supported by Silva et al (2018) and Musungu (2015).…”

Section: Recommendations For Gis Integrationmentioning

confidence: 99%

Coastal Community Mapping: Integrating Gis for Sustainable Housing Solutions in Informal Settlements

2024

IJPREMS

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This qualitative research study explores the utilization of Geographic Information Systems (GIS) to address housing challenges in informal settlements in coastal areas. Through interviews with GIS experts specializing in coastal areas and housing solutions, valuable insights were gained into the role and applications of GIS technology in understanding and addressing housing challenges in coastal informal settlements. The findings highlight the diverse expertise of the respondents in GIS, ranging from coastal resource management to land use planning, and their extensive experience in these areas. Various GIS applications for informal settlements were discussed, including establishing settlement patterns, mapping structures, and identifying suitable sites for housing projects. Comprehensive data collection methods, integration of remote sensing and field monitoring techniques, and visualization of spatial relationships were emphasized as crucial components of GIS-based studies. Challenges encountered in GIS integration, such as data accuracy and completeness, were identified, along with emerging trends, such as mobile data collection and drone technology, offering promising solutions for advancing research and practice in the field. Recommendations for GIS integration include ensuring spatial and temporal data components, regular data updates, and community participation. Overall, the study underscores the critical role of GIS in informing sustainable housing solutions for coastal informal settlements, contributing to the development of inclusive and resilient housing strategies for coastal communities.

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“…Similarly, [66] describes seven crucial information that characterizes quality to include availability, integrity, compliance, reliability, efficiency, effectiveness and confidentiality. With respect to these principles and characteristics, spatial data quality is grouped into two components: internal quality which corresponds to the extent of similarity between data produced and ideal data that should have been produced and external quality that corresponds to the level of conformance that exists between spatial data products and user's needs within a given context [67]. In relation to these two components, data quality audit parameters are grouped into eight elements: accuracy, lineage, currency, completeness, consistency, coverage, adequacy & reliability.…”

Section: Data Qualitymentioning

confidence: 99%

Developing a GIS Audit Framework in the Context of Information Technology though a Reductive Model Approach

Njiru¹,

Siriba²,

Karanja³

2023

JGIS

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A GIS audit framework is necessary considering the diverse nature of GIS with regard to components, applications and industry. In practice, checklists are generated during the audit process based on specific objectives. There is no standardized list of items that can be used as a reference. The purpose of this study was to develop a GIS audit framework as a foundation for GIS audits. The framework provides that comprehensive approach to various GIS aspects during the audit process. The design builds on a developed conceptual framework where most significant categories of GIS audit parameters namely data quality, software utilization, GIS competency and procedures (work flows) were identified. The study adopted a reductive model approach to simplify the complexity associated with each category of GIS audit parameter. The resultant audit elements for each category are organized in a matrix that forms an integral part of the framework. The columns comprise audit goal, audit questions and audit subjects as indicators which are qualitatively measured.The rows comprise the parameters (data quality, software utilization, personnel competency and procedure (workflows)). To use the framework, an auditor only needs to create an audit checklist that consists of particular parameters and indicators from the framework depending on audit objective. As part of an on-going research, the next step will involve validating the framework through a mock testing process.

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Assessing Spatial Data Quality of Participatory Gis Studies: A Case Study in Cape Town

Cited by 6 publications

References 18 publications

Empowering local leaders in flood inundation mapping in Bagelen, Purworejo, Central Java

Empowering local leaders in flood inundation mapping in Bagelen, Purworejo, Central Java

Coastal Community Mapping: Integrating Gis for Sustainable Housing Solutions in Informal Settlements

Developing a GIS Audit Framework in the Context of Information Technology though a Reductive Model Approach

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