OSMRec Tool for Automatic Recommendation of Categories on Spatial Entities in OpenStreetMap

Author(s):  
Nikos Karagiannakis ◽  
Giorgos Giannopoulos ◽  
Dimitrios Skoutas ◽  
Spiros Athanasiou
Keyword(s):  
2021 ◽  
Vol 11 (15) ◽  
pp. 6918
Author(s):  
Chidubem Iddianozie ◽  
Gavin McArdle

The effectiveness of a machine learning model is impacted by the data representation used. Consequently, it is crucial to investigate robust representations for efficient machine learning methods. In this paper, we explore the link between data representations and model performance for inference tasks on spatial networks. We argue that representations which explicitly encode the relations between spatial entities would improve model performance. Specifically, we consider homogeneous and heterogeneous representations of spatial networks. We recognise that the expressive nature of the heterogeneous representation may benefit spatial networks and could improve model performance on certain tasks. Thus, we carry out an empirical study using Graph Neural Network models for two inference tasks on spatial networks. Our results demonstrate that heterogeneous representations improves model performance for down-stream inference tasks on spatial networks.


Author(s):  
Valentyna Kolmakova

The purpose of the article is to substantiate the theoretical and methodological approach to determining the key characteristics of the assessment of ecosystem assets of territorial communities related to water. The study considers the theoretical and methodological principles of assessing ecosystem assets for sustainable development of local communities. The initial methodological approaches of the accumulated world experience on the assessment of ecosystem services and ecosystem assets of local level territories in the context of three components (ecological, economic and social) in the context of water-related ecosystems are specified. An algorithm for estimating ecosystem assets is proposed. The key guidelines for assessing the ecosystem assets of territorial spatial entities based on European experience are revealed. The list of scientific recommendations for the assessment of water-related ecosystem assets to enhance the capacity of local communities and preserve and restore ecosystems is substantiated. The novelty of the study lies in the proposals for the implementation in Ukrainian practice of general approaches to the methodology of assessment of ecosystem assets and services, according to the recommendations of the international project of the European Commission “The Economics of Ecosystems and Biodiversity” (TEEB). The key Euro-benchmarks proposed by the author for the assessment of water-related ecosystem assets will help increase the investment attractiveness of spatial territorial formations and create preconditions for the development of a new economy on an ecosystem basis. Further research has prospects in the following areas: formation of a comprehensive strategic approach to the introduction of ecosystem asset valuation at the local level; development and introduction of effective methodological approaches to the assessment of ecosystem assets for the formation of investment attractiveness of the territory through the use of local natural resources, including water, as ecosystem assets of sustainable spatial development.


2021 ◽  
Vol 10 (2) ◽  
pp. 287-296
Author(s):  
Dejan Vasić ◽  
Marina Davidović ◽  
Ivan Radosavljević ◽  
Đorđe Obradović

Abstract. Panoramic images captured using laser scanning technologies, which principally produce point clouds, are readily applicable in colorization of point cloud, detailed visual inspection, road defect detection, spatial entities extraction, diverse map creation, etc. This paper underlines the importance of images in modern surveying technologies and different GIS projects at the same time having regard to their anonymization in accordance with law. The General Data Protection Regulation (GDPR) is a legal framework that sets guidelines for the collection and processing of personal information from individuals who live in the European Union (EU). Namely, it is a legislative requirement that faces of persons and license plates of vehicles in the collected data are blurred. The objective of this paper is to present a novel architecture of the solution for a particular object blurring. The architecture is designed as a pipeline of object detection algorithms that progressively narrows the search space until it detects the objects to be blurred. The methodology was tested on four data sets counting 5000, 10 000, 15 000 and 20 000 panoramic images. The percentage of accuracy, i.e., successfully detected and blurred objects of interest, was higher than 97 % for each data set. Additionally, our aim was to achieve efficiency and broad use.


2018 ◽  
Vol 43 (3) ◽  
pp. 153-160 ◽  
Author(s):  
Daniel Payne

Does the art library need re-placing? Using the commentary of an OCAD University faculty member concerning “a perception issue with the library and its use,” librarian Daniel Payne uses theorist Henri Lefebvre's spatial triad to decode, in general terms, undergraduate students’ understanding of libraries as articulated in the OCLC Perceptions of libraries surveys. In an attempt to re-align concepts of the library as place at OCAD University, an exhibition review interpretation of student site-interventions demonstrates how visual communication can offer more insightful “spatial practices” for both students and library staff. In the process, librarians were challenged to accommodate student creative voices that pushed both policy boundaries and comfort zones. Although a small-scale information literacy initiative in which no formal quantitative data was collected, the ability of having conceptual models of librarians interact and even clash with those of students helped realign both stakeholders’ understandings of libraries as complex spatial entities.


2009 ◽  
Vol 1 (2) ◽  
pp. 153-170
Author(s):  
Ranka Gajić

The topic of sustainable urban land use compared to the world theory and practice has almost not been elaborated by the professionals in Serbia. This paper's starting point is that it is important to analyze and apply this topic, not only for the master plan level but also for the more detailed levels of planning and for smaller spatial entities/complexes in the cities, focusing on the morphological implications of sustainable urban land use as the topic relevant from the architect/urban planner point of view. After the definition of the notion of sustainable urban land use and the theoretical basis has been defined in the introductory explications, followed by a brief review of that topic's presence in Serbia, the point of view has been explained - namely, focusing on one single aspect (morphology) followed by a review of relevant criteria of other aspects of sustainable urban land use (economical, ecological and social aspects). The conclusion derived by synthesis represents the recommendation for a possible practice/methodology for planner's approach to the sustainable urban land use from the viewpoint of the morphology aspect.


Author(s):  
G. Jayanthi ◽  
V. Uma

Geographic features in the real world are represented by spatial entities such as point, line, and area in two-dimensional surfaces. These features tend to evolve in time, thereby characterizing change in their physical identity, evolution into new species, thus describing geomorphological change of geographic features. These phenomena can be formalized using spatio-temporal relations. Formal representation of changing geographic (spatial) features is the interest of this chapter. Formal methods for representing the event and process that causes geomorphological change are presented. The formalization of geographic entities that are temporally and spatially related in a two-dimensional plane using the interval logic and spatial logic would facilitate the understanding of how modeling of space-time using spatio-temporal relations represents spatial evolution over time. Representation of temporal dynamism can be accomplished using various models. Modeling using spatio-temporal graph is more apt as it contributes to the cause-effect analysis.


2019 ◽  
Vol 8 (7) ◽  
pp. 299 ◽  
Author(s):  
Weixin Zhai ◽  
Xiaochong Tong ◽  
Shuangxi Miao ◽  
Chengqi Cheng ◽  
Fuhu Ren

The increasing number of unmanned aerial vehicles (UAVs) has led to challenges related to solving the collision problem to ensure air traffic safety. The traditional approaches employed for collision detection suffer from two main drawbacks: first, the computational burden of a pairwise calculation increases exponentially with an increasing number of spatial entities; second, existing grid-based approaches are unsuitable for complicated scenarios with a large number of objects moving at high speeds. In the proposed model, we first identified UAVs and other spatial objects with GeoSOT-3D grids. Second, the nonrelational spatial database was initialized with a multitable strategy, and spatiotemporal data were inserted with the GeoSOT-3D grid codes as the primary key. Third, the collision detection procedure was transformed from a pairwise calculation to a multilevel query. Four simulation experiments were conducted to verify the feasibility and efficiency of the proposed collision detection model for UAVs in different environments. The results also indicated that 64 m GeoSOT-3D grids are the most suitable basic grid size, and the reduction in the time consumption compared with traditional methods reached approximately 50–80% in different scenarios.


1997 ◽  
pp. 73-96 ◽  
Author(s):  
Roberto Casati ◽  
Achille C. Varzi
Keyword(s):  

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