Journal of Spatial Information Science最新文献

Assessing the influence of indoor mapping sources for indoor spatial analysis of physical distancing 评估室内测绘资源对物理距离室内空间分析的影响

IF 1.4

Journal of Spatial Information Science Pub Date : 2023-12-21 DOI: 10.5311/josis.2023.27.296

Alan T. Murray, Jiwon Baik, Hannah Malak

引用次数: 0

Maximizing the value of a volunteer: A novel method for prioritizing humanitarian VGI activities 志愿者价值最大化：确定人道主义志愿服务活动优先次序的新方法

IF 1.4

Journal of Spatial Information Science Pub Date : 2023-12-21 DOI: 10.5311/josis.2023.27.246

Kirsty Watkinson, Jonathan J. Huck, Angela Harris

{"title":"Maximizing the value of a volunteer: A novel method for prioritizing humanitarian VGI activities","authors":"Kirsty Watkinson, Jonathan J. Huck, Angela Harris","doi":"10.5311/josis.2023.27.246","DOIUrl":"https://doi.org/10.5311/josis.2023.27.246","url":null,"abstract":"As a consequence of their reliance on a scarce volunteer resource, humanitarian mapping organizations must prioritize their mapping activities. For mapping in anticipation of a crisis or mapping in support of long-term crises, the only method available to organizations is an estimation of the \"completeness\" of the map, with organizations directing volunteers to map areas where data are missing. Whilst this method is suitable for organizations that focus on general map improvement, for those who create data for a specific reason (e.g., drinking water provision) the method is sub-optimal. In this article, we present a new method of humanitarian mapping prioritization, that considers the purpose of map data collection. The method identifies locations where contributions by volunteers are expected to have the biggest impact on the desired use of the map data and therefore maximizes the value gained from volunteer contributions. We explain our method using the example of measuring distance to healthcare and demonstrate its superior ability to consider the context of map data over generic estimations of map \"completeness\". Our method provides humanitarian mapping organizations with an easily reproducible and low cost method and an opportunity to make better informed decisions about mapping prioritization, when the purpose of map data collection is known. Using our method, organizations will be able to maximize the value gained from a scarce volunteer resource and increase the efficiency of humanitarian map data production. ","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Procedural metadata for geographic information using an algebra of core concept transformations 使用核心概念转换代数的地理信息程序元数据

IF 1.4

Journal of Spatial Information Science Pub Date : 2023-12-21 DOI: 10.5311/josis.2023.27.268

Niels Steenbergen, Eric Top, E. Nyamsuren, Simon Scheider

{"title":"Procedural metadata for geographic information using an algebra of core concept transformations","authors":"Niels Steenbergen, Eric Top, E. Nyamsuren, Simon Scheider","doi":"10.5311/josis.2023.27.268","DOIUrl":"https://doi.org/10.5311/josis.2023.27.268","url":null,"abstract":"Transformations are essential for dealing with geographic information. They are involved not only in the conversion between geodata formats and reference systems, but also in turning geodata into useful information according to some purpose. However, since a transformation can be implemented in various formats and tools, its function and purpose usually remains hidden underneath the technicalities of a workflow. To automate geographic information procedures, we therefore need to model the transformations implemented by workflows on a conceptual level, as a form of procedural knowledge. Although core concepts of spatial information provide a useful level of description in this respect, we currently lack a model for the space of possible transformations between such concepts. In this article, we present the algebra of core concept transformations (CCT). It consists of a type hierarchy which models core concepts as relation types, and a set of basic transformations described in terms of function signatures that use such types. We enrich GIS workflows with abstract machine-readable metadata, by compiling algebraic tool descriptions and inferring goal concepts across a workflow. In this article, we show how such procedural metadata can be used to retrieve workflows based on task descriptions derived from geo-analytical questions. Transformations can be queried independently from their implementations or data formats.","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138950859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

More is less - Adding zoom levels in multi-scale maps to reduce the need for zooming interactions 多即是少--在多比例尺地图中增加缩放级别，减少缩放交互的需要

IF 1.4

Journal of Spatial Information Science Pub Date : 2023-12-21 DOI: 10.5311/josis.2023.27.277

Marion Dumont, G. Touya, Cécile Duchêne

引用次数: 0

Distributed spatial data sharing: a new model for data ownership and access control 分布式空间数据共享：数据所有权和访问控制的新模式

IF 1.4

Journal of Spatial Information Science Pub Date : 2023-12-21 DOI: 10.5311/josis.2023.27.220

Majid Hojati, Rob Feick, Steven Roberts, Carson Farmer, Colin Robertson

{"title":"Distributed spatial data sharing: a new model for data ownership and access control","authors":"Majid Hojati, Rob Feick, Steven Roberts, Carson Farmer, Colin Robertson","doi":"10.5311/josis.2023.27.220","DOIUrl":"https://doi.org/10.5311/josis.2023.27.220","url":null,"abstract":"With the advent of new technologies and broader participation in geospatial data production, new challenges emerge for spatial data sharing. Spatial data sharing practices are increasingly transacted through and, to varying degrees, controlled by a handful of privately controlled corporate services. Data production has evolved from being largely centralized, expert-oriented, and authoritative in nature to now also include hybrid data collection processes involving distributed assemblages of individuals who share and co-produce spatial data while interacting through centralized architectures and control regimes. These changes have resulted mainly from technological and social changes linked to the emergence of Web 2.0 and widely available Internet participation tools. Concerns about how spatial data access and sharing are controlled, particularly for sensitive or personally-identifying data, have increased interest in distributed file technologies that allow users to share resources independently of centralized platforms. This paper examines how spatial data sharing practices may move towards a more decentralized sharing ecosystem as technologies for a further distributed web mature. We identify this transition as increasingly hybridized forms of data ownership and access control concerns are coupled with new distributed systems (e.g., Web 3.0). We also discuss opportunities and barriers to distributed spatial data sharing, including possible benefits for big geographic data management and the need for protocols to share, integrate, and process spatial data shared on distributed networks.","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reimagining GIScience education for enhanced employability 重新规划 GIScience 教育，提高就业能力

IF 1.4

Journal of Spatial Information Science Pub Date : 2023-12-21 DOI: 10.5311/josis.2023.27.307

Hongyu Zhang

引用次数: 0

Spatial Information Science in 2023 2023年的空间信息科学

IF 1.4

Journal of Spatial Information Science Pub Date : 2023-06-30 DOI: 10.5311/josis.2023.26.305

Benjamin Adams, S. Dodge, R. Purves

{"title":"Spatial Information Science in 2023","authors":"Benjamin Adams, S. Dodge, R. Purves","doi":"10.5311/josis.2023.26.305","DOIUrl":"https://doi.org/10.5311/josis.2023.26.305","url":null,"abstract":"Since our 10th anniversary issues published in 2020 [1, 2], JOSIS has continued to publish a number of excellent research articles on many of the topics highlighted by our editorial board in their invited papers. These include articles on crowdsourcing [10], place [18, 17, 23, 13, 3], spatial language [5, 15, 24, 19], GeoAI [14], movement analysis [26, 11], urban analysis and wayfinding [16, 21, 7], methods for spatial analysis and uncertainty [22, 25, 6, 20], environmental data and modeling [8, 12, 9], and qualitative spatial reasoning [4]. We are happy to also note that these articles represent research conducted around the world, with authors based in Australia, Bangladesh, Canada, Croatia, France, Germany, Lebanon, the Netherlands, New Zealand, Portugal, South Africa, Switzerland, the United Kingdom, and the United States. In addition to five research articles, this issue contains two commentaries that revisit thematic questions about the field of GIScience both past and present. The first of these by René Westerholt examines how GIScience is taught in the interdisciplinary contexts and how that affects the identity of the field. The second by Christophe Claramunt and Matthew Dube looks at the state of the field through the lens of the original NCGIA research agenda. As we go forward, it is clear that spatial information science (and GIScience) continues to evolve as both a scientific field as well as in terms of the applications to which it is applied. We take this opportunity to remind all of our readers that JOSIS is run by your researchers for researchers. As a diamond open access journal, your article will be published under a Creative Commons licence, with no fees to either readers or authors. We rely on the community to provide constructive and detailed reviews, and are proud of the quality and diversity of articles we publish.","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46268910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A brief review of the evolution of GIScience since the NCGIA research agenda initiatives 简要回顾自NCGIA研究议程倡议以来gisscience的演变

IF 1.4

Journal of Spatial Information Science Pub Date : 2023-06-30 DOI: 10.5311/josis.2023.26.300

Christophe Claramunt, Matthew P. Dube

引用次数: 0

Teaching GIScience in the multidisciplinary nexus 跨学科关系下的地理信息学教学

IF 1.4

Journal of Spatial Information Science Pub Date : 2023-06-30 DOI: 10.5311/josis.2023.26.299

R. Westerholt

引用次数: 0

A Geographical Perspective on Simpson's Paradox 辛普森悖论的地理学透视

IF 1.4

Journal of Spatial Information Science Pub Date : 2023-05-17 DOI: 10.5311/josis.2023.26.212

M. Sachdeva, A. Fotheringham

{"title":"A Geographical Perspective on Simpson's Paradox","authors":"M. Sachdeva, A. Fotheringham","doi":"10.5311/josis.2023.26.212","DOIUrl":"https://doi.org/10.5311/josis.2023.26.212","url":null,"abstract":"The concept of scale is inherent to, and consequential for, the modeling of geographical processes. However, scale also causes huge problems because the results of many types of spatial analysis appear to be dependent on the scale of the units for which data are reported (measurement scale). Consequently, when the same spatial models are calibrated at different scales of aggregations, the results are often vastly different (the well-known Modifiable Areal Unit Problem or MAUP). With the advent of local models and the fundamental difference in their scale of application compared to global models, this issue is further exacerbated in unexpected ways. For example, a global model and local model calibrated using data measured at the same aggregation scale can also result in different and sometimes contradictory inferences (the classic Simpson's Paradox). Here we provide a geographical perspective on why and how contrasting inferences might result from the calibration of a local and global model using the same data. Further, we examine the viability of such an occurrence using a synthetic experiment and two empirical examples. Finally, we discuss how such a perspective might inform the analyst’s conundrum: when the respective inferences run counter to one another, do we believe the local or global model results?","PeriodicalId":45389,"journal":{"name":"Journal of Spatial Information Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46686529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2