Journal of Spatial Information Science

Scope & Guideline

Transforming Data into Knowledge Across Disciplines

Introduction

Welcome to your portal for understanding Journal of Spatial Information Science, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1948-660x
PublisherUNIV MAINE
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 2010 to 2024
AbbreviationJ SPAT INF SCI / J. Spat. Inf. Sci.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5748 MEMORIAL UNION, ORONO, ME 04469-5748

Aims and Scopes

The Journal of Spatial Information Science focuses on the integration of spatial data and technology to address contemporary challenges in various domains. It aims to advance the understanding and application of geographic information science (GIScience) through innovative methodologies and interdisciplinary approaches.
  1. GeoAI and Advanced Data Analytics:
    The journal emphasizes the application of GeoAI, combining geographic information science with artificial intelligence techniques to derive insights from spatial data.
  2. Spatial Analysis and Modeling:
    Research often involves advanced spatial analysis techniques, including modeling human behaviors, environmental patterns, and urban dynamics, using both quantitative and qualitative methodologies.
  3. Education and Workforce Development in GIScience:
    There is a strong focus on enhancing GIScience education and employability, addressing the skills gap in the workforce and integrating GIScience into multidisciplinary academic programs.
  4. Volunteer Geographic Information (VGI):
    The journal explores methodologies for engaging volunteers in geographic data collection and the implications for humanitarian and community-based projects.
  5. Spatial Data Sharing and Ownership:
    Recent publications reflect a growing interest in frameworks for spatial data sharing, access control, and ownership, particularly in the context of evolving digital landscapes.
  6. Indoor and Outdoor Spatial Analysis:
    Research covers both outdoor spatial phenomena and the emerging field of indoor mapping, addressing challenges in navigation, physical distancing, and urban planning.
The Journal of Spatial Information Science is adapting to new technological advances and societal needs, leading to the emergence of several key themes in recent publications. These trends highlight the journal's responsiveness to contemporary issues within the spatial information landscape.
  1. Integration of AI in GIScience:
    There is a significant increase in research exploring the intersection of AI and GIScience, particularly in applications like GeoAI, which enhances spatial data analysis and decision-making.
  2. Indoor Mapping and Spatial Analysis:
    The rise of indoor mapping technology has led to a growing body of research focused on indoor spatial analysis, which addresses challenges in navigation and safety in built environments.
  3. User-Generated Content and Social Media Analysis:
    Emerging studies utilize user-generated content from social media to analyze spatial patterns and behaviors, indicating a trend towards leveraging big data for geographic insights.
  4. Multi-Scale and Adaptive Mapping Techniques:
    Research is increasingly focusing on adaptive mapping techniques that accommodate various scales, promoting usability and accessibility in spatial representations.
  5. Humanitarian Applications of VGI:
    There is a notable trend in exploring the applications of volunteer geographic information in humanitarian contexts, enhancing community engagement and response strategies.

Declining or Waning

While the Journal of Spatial Information Science continues to explore a wide range of topics, certain themes appear to be declining in prominence. This shift may reflect changes in technology, societal needs, or research priorities.
  1. Historical GIS Applications:
    There has been a noticeable decrease in publications focusing solely on historical GIS applications, indicating a potential shift towards more contemporary or real-time spatial analysis.
  2. Basic GIS Software Techniques:
    Research centered around basic GIS software functionalities and traditional mapping techniques seems to be waning, as the field shifts towards more complex analyses and integrations with AI.
  3. Static Spatial Representations:
    The focus on static maps and traditional cartographic techniques is declining, with more emphasis on dynamic, interactive, and user-generated spatial data.
  4. Environmental Perception Studies:
    While still relevant, studies specifically examining environmental perception through traditional survey methods appear less frequently, possibly overshadowed by more data-driven approaches.
  5. Global Pandemic Impact Studies:
    Although the pandemic has spurred initial interest in spatial behavior studies, such themes are now less frequently published as researchers pivot to broader or different spatial challenges.

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