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Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Levels of Use of a GIS01:29

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Social Foundations of Self IV: Self in Digital Communication01:30

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Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
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VisualCommunity: a platform for archiving and studying communities.

Suphanut Jamonnak1, Deepshikha Bhati1, Md Amiruzzaman2

  • 1Department of Computer Science, Kent State University, Kent, OH USA.

Journal of Computational Social Science
|May 23, 2022
PubMed
Summary
This summary is machine-generated.

VisualCommunity enhances neighborhood research by integrating AI tools for analyzing spatialized video and geo-narratives. This platform aids researchers in exploring community data for challenges like COVID-19 scenarios.

Keywords:
AI processingCommunity studyGeo-narrativeSpatial videoVisualization system

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Area of Science:

  • Environmental Science
  • Urban Planning
  • Computer Science

Background:

  • Community-scale research often requires specialized tools for handling complex spatial data.
  • Existing platforms may lack integrated AI capabilities for efficient data analysis.
  • Geo-narratives and spatialized video offer granular insights into community dynamics.

Purpose of the Study:

  • To introduce enhancements to the VisualCommunity platform, focusing on AI-driven analysis.
  • To improve the exploration of semantic and visual information within spatialized data.
  • To demonstrate the platform's utility through real-world use cases, such as COVID-19 scenarios.

Main Methods:

  • Integration of AI-based image processing and speech transcription tools into VisualCommunity.
  • Utilizing mobile technology for data collection of spatialized video and geo-narratives.
  • Development of visualization techniques for exploring complex community data.

Main Results:

  • The enhanced VisualCommunity platform facilitates easier exploration of semantic and visual data.
  • AI tools enable efficient processing of speech transcriptions and image analysis.
  • Use case examples, including COVID-19 scenarios, highlight the platform's practical applications.

Conclusions:

  • VisualCommunity provides a robust platform for community-scale research, significantly improved by AI.
  • The integration of AI tools enhances the analytical capabilities for spatialized video and geo-narratives.
  • The platform supports researchers, practitioners, and students in addressing community challenges effectively.