A web-based, interactive visualization tool for social environmental survey data

Jones, Amber Spackman; Horsburgh, Jeffery S.; Jackson-Smith, Douglas B.; Ramírez, Maurier; Flint, Courtney G.; Caraballo, Juan

doi:10.1016/j.envsoft.2016.07.013

Cited by 26 publications

(14 citation statements)

References 27 publications

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“…We also recognized the need for specific cyberinfrastructure to improve capacity for exploration of certain social science datasets. We developed a web‐based tool for visualizing quantitative survey data (Jones et al ., ) that are typically limited in interpretation and dissemination. This tool gives researchers, stakeholders, and the public direct access to survey results via an interactive visualization.…”

Section: Iutah Water Research Program and Data Managementsupporting

confidence: 67%

Data Management Dimensions of Social Water Science: The iUTAH Experience

Flint

Jones

Horsburgh

2017

J American Water Resour Assoc

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Integrating social and hydrologic sciences for understanding water systems is challenged by data management complexities. Contemporary mandates for open science and data sharing necessitate better understanding of the implications of social science data types. In the context of an interdisciplinary water research program that endeavors to integrate and share social science and biophysical data, we highlight the array of data types and issues associated with social water science. We present a multi‐dimensional classification of social water science data that provides insight into data management considerations for each data type. Recommendations for cyberinfrastructure, planning, and policy are offered.

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Section: Iutah Water Research Program and Data Managementsupporting

confidence: 67%

Data Management Dimensions of Social Water Science: The iUTAH Experience

Flint

Jones

Horsburgh

2017

J American Water Resour Assoc

Self Cite

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“…Respondents also reported the zip code of the place where they live, and we used these zip codes to identify the subset of iPad survey responses that came from residents of the 11 cities included in this study (which produced a total useable sample of 2,234). Results from the full statewide sample from the survey can be viewed in an online, interactive visualization tool (Jones et al, ).…”

Section: Methodology and Data Collectionmentioning

confidence: 99%

Social Position Influencing the Water Perception Gap Between Local Leaders and Constituents in a Socio‐Hydrological System

Haeffner

Jackson-Smith

Flint

2018

Water Resources Research

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How well city leaders represent their constituents and meet their needs are key concerns in transitioning to local sustainable water governance. To date, however, there is little research documenting the influence of social position between elected leaders who make policy, career staff water managers who design and operate systems and implement policies, and the members of the public whose individual water use behaviors are important drivers of water sustainability outcomes. In this study, we ask: “How does social position explain variation in water perceptions and concerns between different actors in a socio‐hydrological system?” Using a mixed method approach with survey and interview data, we explore the ways that positioning within the governance system, geographic context, and citizen engagement in local government mediate perceptions of the urban water system. Regardless of local biophysical water supply conditions, residents showed most concern about future water shortages and high water costs, while their leaders were consistently most concerned about deteriorating local water infrastructure. Further, constituents who received water‐related information directly from public utility mailings or served on community committees and boards had perceptions that were more aligned with leaders' concerns. The importance of social structure over natural and built environments in shaping water issue perceptions underscores the value of social analysis in socio‐hydrology studies. Further, practitioners looking to increase consensus for a transition to sustainable water governance might work to develop institutional mechanisms to increase opportunities for water user involvement in local water system governance.

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“…Additionally, these components cannot be used directly on networks (Argent, ; Argent et al, ; Granell, Schade, & Ostländer, ; Jagers, ). (3) In the web‐service‐based modeling and simulation stage, web‐service technologies are used to publish geo‐analysis models and related data as services (Belete, Voinov, & Laniak, ; Granell et al, ; Granell, Díaz, et al, ; Hull et al, ; Jones et al, ; Wen et al, ; Yin et al, ; Zhao et al, ). Therefore, these resources can be reused to support the collaborative solving of complex geographic problems.…”

Section: Introductionmentioning

confidence: 99%

A Study on Data Processing Services for the Operation of Geo‐Analysis Models in the Open Web Environment

Wang

Chen

et al. 2018

Earth and Space Science

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With the development of network technology, integrated modeling frameworks based on web services are becoming a key topic with regard to solving complex geographic problems. Currently, large numbers of geo‐analysis models and massive data resources are available on the open web. Accessing, acquiring or invoking individual resources transparently is relatively straightforward; but combining these models and data resources for comprehensive simulations remains challenging due to their heterogeneity and diversity. Data resources are the driving force of model execution and can serve as an intermediate linkage medium for model integration, yet in most cases, the data resources cannot be directly used to drive or link models. Data processing services that can prepare and process data are urgently needed in the web environment to enable the convenient coupling of models and data resources through the web, thus reducing the difficulty of preparing data and avoiding repetitive data processing work. Three types of data processing methods that can achieve mapping, refactoring, and visualization are designed in this article based on the proposed Universal Data eXchange (UDX) model. These methods can be published as data processing services to facilitate the operation of geo‐analysis models through the web environment. The applicability of the proposed data processing services is examined through two cases: the processing service is applied in model integration through the web in the first case, and data preparation with processing services for the Taihu Water Pollution Diffusion Model (TWPDM) is carried out in the second case. The results demonstrate that the proposed processing services can bridge the gap between geo‐analysis models and data resources hosted on networks.

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A web-based, interactive visualization tool for social environmental survey data

Cited by 26 publications

References 27 publications

Data Management Dimensions of Social Water Science: The iUTAH Experience

Data Management Dimensions of Social Water Science: The iUTAH Experience

Social Position Influencing the Water Perception Gap Between Local Leaders and Constituents in a Socio‐Hydrological System

A Study on Data Processing Services for the Operation of Geo‐Analysis Models in the Open Web Environment

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