#Gaia project software

#Gaia project software

Data will have been collected using the Sysomos MAP data aggregator Adobe Creative Cloud software will be used to design the data visualizations, which will then be used in stakeholder surveys and focus groups. The target population is Ohio water quality stakeholders who are identified as such in OARDC SEED Project #OHOA1570, including Ohio residents, agriculturalists, legislators, and researchers. The phase is guided by two primary objectives: to prepare data visualizations using information gathered from OARDC SEED Project #OHOA1570 and to test these visualizations for cognitive impacts and audience affective responses. The purpose of this phase is to find creative approaches to reporting Ohio's water quality issues and policies to scientific and lay audiences. Phase II: Illustrating Ohio's Environmental Issues: A Case Study (June2016-May2017)The project's second phase will see the development of a case study using data collected from OARDC SEEDS Project #OHOA1570: Listening in on Water Quality: Using Big DataPlatforms to Monitor Online Conversations About Water Issues in Ohio. This review will establish a baseline for the use of data visualization in the aforementioned fields and will follow the methodology established by Segel and Heer (2010) in their survey of data visualization in popular-press reporting. The researcher will use a mixed-methods approach to data collection methods will include qualitative content analysis, surveys and focus groups, and experimental procedures.Phase I: Review of Data Visualization in Existing Literature (August2015-May2016)The project's first phase will be a qualitative content analysis of existing scientific and popular-press literature covering food-, agriculture-, and natural resources-related issues. Project Methods This five-year project will proceed in four phases.