Modeling the Vagueness of Areal Geographic Objects: A Categorization System

Liu, Yu; Yuan, Yihong; Gao, Song

doi:10.3390/ijgi8070306

Cited by 12 publications

(7 citation statements)

References 44 publications

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“…The results of the proposed framework lend support to the argument that the combination of knowledge and data may prove beneficial to the long-standing problem in GIScience of delineating and modeling vaguely defined regions of which cognitive regions, functional regions and places are the most prominent examples [32,33].…”

Section: Discussionmentioning

confidence: 57%

Combining Design Patterns and Topic Modeling to Discover Regions That Support Particular Functionality

Papadakis

Gao

Baryannis

2019

IJGI

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The problem of discovering regions that support particular functionalities in an urban setting has been approached in literature using two general methodologies: top-down, encoding expert knowledge on urban planning and design and discovering regions that conform to that knowledge; and bottom-up, using data to train machine learning models, which can discover similar regions. Both methodologies face limitations, with knowledge-based approaches being criticized for scalability and transferability issues and data-driven approaches for lacking interpretability and depending heavily on data quality. To mitigate these disadvantages, we propose a novel framework that fuses a knowledge-based approach using design patterns and a data-driven approach using latent Dirichlet allocation (LDA) topic modeling in three different ways: Functional regions discovered using either approach are evaluated against each other to identify cases of significant agreement or disagreement; knowledge from patterns is used to adjust topic probabilities in the learning model; and topic probabilities are used to adjust pattern-based results. The proposed methodologies are demonstrated through the use case of identifying shopping-related regions in the Los Angeles metropolitan area. Results show that the combination of pattern-based discovery and topic modeling extraction helps uncover discrepancies between the two approaches and smooth inaccuracies caused by the limitations of each approach.

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Section: Discussionmentioning

confidence: 57%

Combining Design Patterns and Topic Modeling to Discover Regions That Support Particular Functionality

Papadakis

Gao

Baryannis

2019

IJGI

Self Cite

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“…Exploring the modeling of imprecise objects (or relations) with undetermined boundaries has become a focal point in fields such as GIS. An illustrative example is provided in [50], which discusses the characteristics of vague regions by examining them through the lens of the field/object dichotomy, recognizing that fields and objects offer distinct perspectives for modeling geographic phenomena.…”

Section: Spatial Vagueness and Indefinitionmentioning

confidence: 99%

A Logical–Algebraic Approach to Revising Formal Ontologies: Application in Mereotopology

Aranda-Corral,

Borrego-Díaz,

Chávez-González

et al. 2024

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In ontology engineering, reusing (or extending) ontologies poses a significant challenge, requiring revising their ontological commitments and ensuring accurate representation and coherent reasoning. This study aims to address two main objectives. Firstly, it seeks to develop a methodological approach supporting ontology extension practices. Secondly, it aims to demonstrate its feasibility by applying the approach to the case of extending qualitative spatial reasoning (QSR) theories. Key questions involve effectively interpreting spatial extensions while maintaining consistency. The framework systematically analyzes extensions of formal ontologies, providing a reconstruction of a qualitative calculus. Reconstructed qualitative calculus demonstrates improved interpretative capabilities and reasoning accuracy. The research underscores the importance of methodological approaches when extending formal ontologies, with spatial interpretation serving as a valuable case study.

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“…Especially the urban system, often presents a hierarchical structure with nonlinear pattern process interactions within and across different scales in space and time [23]. In fact, many geographic phenomena are scale-dependent [24,25]. Research conducted at different scales may lead to different conclusions.…”

Section: Hierarchical Structure Of Yrduamentioning

confidence: 99%

The Impacts of Farmland Loss on Regional Food Self-Sufficiency in Yangtze River Delta Urban Agglomeration over Last Two Decades

et al. 2021

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Food security is essential for human survival and sustainable development. Due to rapid urbanization and industrialization, the farmland loss in Yangtze River Delta Urban Agglomeration (YRDUA) has threatened food security. Thus, this study intended to quantify the farmland loss and assess its impacts on food security in the YRDUA from 2000 to 2020 at three scales based on the Google Earth Engine platform. Our results show that the area of farmland in YRDUA is decreasing at a rather high speed in the past 20 years and the trend is getting worse. At the urban agglomeration scale, there was a farmland deficit of 0.44 million ha in 2000, followed by larger farmland deficits in 2010 and 2020. At the city scale, Shanghai had the largest scarcity of farmland. At the urban subgroup scale, Subgroup I in the west and Subgroup II in the north always maintained an oversupply of farmland, while Subgroup III in the east and Subgroup IV in the south faced serious food security problems. Our study suggests that farmland must be protected in YRDUA in order to ensure food self-sufficiency and promote regional sustainability.

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Modeling the Vagueness of Areal Geographic Objects: A Categorization System

Cited by 12 publications

References 44 publications

Combining Design Patterns and Topic Modeling to Discover Regions That Support Particular Functionality

Combining Design Patterns and Topic Modeling to Discover Regions That Support Particular Functionality

A Logical–Algebraic Approach to Revising Formal Ontologies: Application in Mereotopology

The Impacts of Farmland Loss on Regional Food Self-Sufficiency in Yangtze River Delta Urban Agglomeration over Last Two Decades

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