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You searched for: Keyword International Journal of Geo-Information Remove constraint Keyword: International Journal of Geo-Information
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1. (Of) Indigenous Maps in the Amazon: For a Decolonial Cartography

Author:
Thiara Vichiato Breda
Source:
ISPRS international journal of geo-information 2022 v.11 no.3 pp. -
ISSN:
2220-9964
Subject:
cartography; indigenous peoples; spatial data
Abstract:
... There are mappings of indigenous lands, mappings with indigenous participation, and mappings made by indigenous people, all of them resulting from cartographic intentions, mapping motives, and distinct meanings of spatiality. Starting from the questioning around the drives of the subject towards his search for knowledge of the space and its mapping, this article seeks to both identify the key poin ...
DOI:
10.3390/ijgi11030161

2. 3D Modeling Method for Dome Structure Using Digital Geological Map and DEM

Author:
Xian-Yu Liu; An-Bo Li; Hao Chen; Yan-Qing Men; Yong-Liang Huang
Source:
ISPRS international journal of geo-information 2022 v.11 no.6 pp. -
ISSN:
2220-9964
Subject:
cartography; deformation; models; spatial data; surveys; China; Mauritania
Abstract:
... Geological maps have wide coverage with low acquisition difficulty. When other geological survey data are scarce, they are a valuable source of geological structure information for geological modeling. However, for structures with large deformation, geological map information has difficulty meeting the requirement of its 3D geological modeling. Therefore, this paper takes the dome structure as an ...
DOI:
10.3390/ijgi11060339

3. 3D Modeling of Individual Trees from LiDAR and Photogrammetric Point Clouds by Explicit Parametric Representations for Green Open Space (GOS) Management

Author:
Deni Suwardhi; Kamal Nur Fauzan; Agung Budi Harto; Budhy Soeksmantono; Riantini Virtriana; Arnadi Murtiyoso
Source:
ISPRS international journal of geo-information 2022 v.11 no.3 pp. -
ISSN:
2220-9964
Subject:
aboveground biomass; air pollution; lidar; models; open space; photogrammetry; spatial data
Abstract:
... The development and management of green open spaces are essential in overcoming environmental problems such as air pollution and urban warming. 3D modeling and biomass calculation are the example efforts in managing green open spaces. In this study, 3D modeling was carried out on point clouds data acquired by the UAV photogrammetry and UAV LiDAR methods. 3D modeling is done explicitly using the po ...
DOI:
10.3390/ijgi11030174

4. 3D Visualisation of the Historic Pre-Dam Vltava River Valley—Procedural and CAD Modelling, Online Publishing and Virtual Reality

Author:
Michal Janovský; Pavel Tobiáš; Vojtěch Cehák
Source:
ISPRS international journal of geo-information 2022 v.11 no.7 pp. -
ISSN:
2220-9964
Subject:
Internet; computer simulation; computer software; landscapes; models; river valleys; rivers; spatial data; watersheds
Abstract:
... As a part of “The Vltava River” project, it was necessary to create a visualisation of the historic Vltava River valley before the construction of the so-called Vltava Cascade (nine dams built in the Vltava River basin between 1930 and 1992). Vectorisations of the Imperial Obligatory Imprints of the Stable Cadastre, and a terrain model created from contour lines from the State Map 1:5000-Derived ( ...
DOI:
10.3390/ijgi11070376

5. An ANNs-Based Method for Automated Labelling of Schematic Metro Maps

Author:
Tian Lan; Zhilin Li; Jicheng Wang; Chengyin Gong; Peng Ti
Source:
ISPRS international journal of geo-information 2022 v.11 no.1 pp. -
ISSN:
2220-9964
Subject:
automation; databases; geometry; spatial data
Abstract:
... Schematic maps are popular for representing transport networks. In the last two decades, some researchers have been working toward automated generation of network layouts (i.e., the network geometry of schematic maps), while automated labelling of schematic maps is not well considered. The descriptive-statistics-based labelling method, which models the labelling space by defining various station-b ...
DOI:
10.3390/ijgi11010036

6. Acceptance of GIS within ERP System: Research Study in Higher Education

Author:
Simona Sternad Zabukovšek; Polona Tominc; Zdenko Deželak; Gaik Nalbandyan; Samo Bobek
Source:
ISPRS international journal of geo-information 2022 v.11 no.2 pp. -
ISSN:
2220-9964
Subject:
business enterprises; models; spatial data; structural equation modeling; surveys
Abstract:
... GIS is often used in companies where employees already use enterprise information systems/enterprise resource planning (ERP) systems and where both systems are used simultaneously. This article is a research study of GIS acceptance by users using GIS, not as a stand-alone tool, but as an integrated tool into the ERP system. The research was conducted using the Technology Acceptance Model (TAM), on ...
DOI:
10.3390/ijgi11020083

7. Accurate Extraction of Ground Objects from Remote Sensing Image Based on Mark Clustering Point Process

Author:
Hongyun Zhang; Jin Liu; Jie Liu
Source:
ISPRS international journal of geo-information 2022 v.11 no.7 pp. -
ISSN:
2220-9964
Subject:
Bayesian theory; Markov chain; algorithms; color; geometry; models; normal distribution; spatial data
Abstract:
... The geometric features of ground objects can reflect the shape, contour, length, width, and pixel distribution of ground objects and have important applications in the process of object detection and recognition. However, the geometric features of objects usually present irregular geometric shapes. In order to fit the irregular geometry accurately, this paper proposes the mark clustering point pro ...
DOI:
10.3390/ijgi11070402

8. An Accurate and Efficient Quaternion-Based Visualization Approach to 2D/3D Vector Data for the Mobile Augmented Reality Map

Author:
Chenliang Wang; Kejia Huang; Wenjiao Shi
Source:
ISPRS international journal of geo-information 2022 v.11 no.7 pp. -
ISSN:
2220-9964
Subject:
augmented reality; topology; vector data
Abstract:
... Increasingly complex vector map applications and growing multi-source spatial data pose a serious challenge to the accuracy and efficiency of vector map visualization. It is true especially for real-time and dynamic scene visualization in mobile augmented reality, with the dramatic development of spatial data sensing and the emergence of AR-GIS. Such issues can be decomposed into three issues: acc ...
DOI:
10.3390/ijgi11070383

9. Achieving Differential Privacy Publishing of Location-Based Statistical Data Using Grid Clustering

Author:
Yan Yan; Zichao Sun; Adnan Mahmood; Fei Xu; Zhuoyue Dong; Quan Z. Sheng
Source:
ISPRS international journal of geo-information 2022 v.11 no.7 pp. -
ISSN:
2220-9964
Subject:
algorithms; data collection; models; spatial data; traffic; wavelet
Abstract:
... Statistical partitioning and publishing is commonly used in location-based big data services to address queries such as the number of points of interest, available vehicles, traffic flows, infected patients, etc., within a certain range. Adding noise perturbation to the location-based statistical data according to the differential privacy model can reduce various risks caused by location privacy l ...
DOI:
10.3390/ijgi11070404

10. Achieving ‘Active’ 30 Minute Cities: How Feasible Is It to Reach Work within 30 Minutes Using Active Transport Modes?

Author:
Alan Both; Lucy Gunn; Carl Higgs; Melanie Davern; Afshin Jafari; Claire Boulange; Billie Giles-Corti
Source:
ISPRS international journal of geo-information 2022 v.11 no.1 pp. -
ISSN:
2220-9964
Subject:
active transport; climate change; employment; population growth; public transportation; spatial data; traffic; urbanization; vehicles (equipment); working conditions; Australia
Abstract:
... Confronted with rapid urbanization, population growth, traffic congestion, and climate change, there is growing interest in creating cities that support active transport modes including walking, cycling, or public transport. The ‘30 minute city’, where employment is accessible within 30 min by active transport, is being pursued in some cities to reduce congestion and foster local living. This pape ...
DOI:
10.3390/ijgi11010058

11. Adaptive Geometric Interval Classifier

Author:
Shuang Li; Jie Shan
Source:
ISPRS international journal of geo-information 2022 v.11 no.8 pp. -
ISSN:
2220-9964
Subject:
cartography; geometry; spatial data; system optimization
Abstract:
... Quantile, equal interval, and natural breaks methods are widely used data classification methods in geospatial analysis and cartography. However, when applied to data with skewed distributions, they can only reveal the variations of either high frequent values or extremes, which often leads to undesired and biased classification results. To handle this problem, Esri provided a compromise method, n ...
DOI:
10.3390/ijgi11080430

12. An Adaptive Route Planning Method of Connected Vehicles for Improving the Transport Efficiency

Author:
Baoju Liu; Jun Long; Min Deng; Xuexi Yang; Yan Shi
Source:
ISPRS international journal of geo-information 2022 v.11 no.1 pp. -
ISSN:
2220-9964
Subject:
algorithms; prices; research and development; roads; spatial data; traffic; travel
Abstract:
... In recent years, the route-planning problem has gained increased interest due to the development of intelligent transportation systems (ITSs) and increasing traffic congestion especially in urban areas. An independent route-planning strategy for each in-vehicle terminal improves its individual travel efficiency. However, individual optimal routes pursue the maximization of individual benefit and m ...
DOI:
10.3390/ijgi11010039

13. Adaptive Spatio-Temporal Query Strategies in Blockchain

Author:
Haibo Chen; Daolei Liang
Source:
ISPRS international journal of geo-information 2022 v.11 no.7 pp. -
ISSN:
2220-9964
Subject:
algorithms; blockchain; data collection; spatial data; trees
Abstract:
... In various applications of blockchain, how to index spatio-temporal data more efficiently has become a subject of continuous attention. The existing spatio-temporal data query in the blockchain is realized by adding additional external storage or fixed spatio-temporal index in the block, without considering the distribution of the spatio-temporal query itself and the proof performance accompanying ...
DOI:
10.3390/ijgi11070409

14. All Burglaries Are Not the Same: Predicting Near-Repeat Burglaries in Cities Using Modus Operandi

Author:
Anton Borg; Martin Svensson
Source:
ISPRS international journal of geo-information 2022 v.11 no.3 pp. -
ISSN:
2220-9964
Subject:
crime; issues and policy; law enforcement; regression analysis; spatial data
Abstract:
... The evidence that burglaries cluster spatio-temporally is strong. However, research is unclear on whether clustered burglaries (repeats/near-repeats) should be treated as qualitatively different crimes compared to spatio-temporally unrelated burglaries (non-repeats). This study, therefore, investigated if there were differences in modus operandi-signatures (MOs, the habits and methods employed by ...
DOI:
10.3390/ijgi11030160

15. Ambulances Deployment Problems: Categorization, Evolution and Dynamic Problems Review

Author:
Dionicio Neira-Rodado; John Wilmer Escobar-Velasquez; Sally McClean
Source:
ISPRS international journal of geo-information 2022 v.11 no.2 pp. -
ISSN:
2220-9964
Subject:
COVID-19 infection; evolution; health services; models; spatial data
Abstract:
... In this paper, an analytic review of the recent methodologies tackling the problem of dynamic allocation of ambulances was carried out. Considering that state-of-the-art is moving to deal with more extensive and dynamic problems to address in a better way real-life instances, this research looks to identify the evolution and recent applications of this kind of problem once the basic models are exp ...
DOI:
10.3390/ijgi11020109

16. Analysis of Factors Affecting Adoption of Volunteered Geographic Information in the Context of National Spatial Data Infrastructure

Author:
Munir Ahmad; Malik Sikandar Hayat Khayal; Ali Tahir
Source:
ISPRS international journal of geo-information 2022 v.11 no.2 pp. -
ISSN:
2220-9964
Subject:
infrastructure; least squares; spatial data; structural equation modeling; Pakistan
Abstract:
... Spatial data infrastructures (SDIs) have been implemented for the last four decades in most countries. One of the key objectives of SDIs is to ensure the quick availability and accessibility of spatial data. The success of SDI depends on the underlying spatial datasets. Many developing countries such as Pakistan are facing problems in implementing SDI because of the unavailability of spatial data. ...
DOI:
10.3390/ijgi11020120

17. Analysis of the Characteristics and Spatial Pattern of the Catering Industry in the Four Central Cities of the Yangtze River Delta

Author:
Weiwu Wang; Shan Wang; Huan Chen; Lingjun Liu; Tianle Fu; Yuxin Yang
Source:
ISPRS international journal of geo-information 2022 v.11 no.6 pp. -
ISSN:
2220-9964
Subject:
Python; autocorrelation; cuisine; markets; models; population density; river deltas; spatial data; urban areas; urbanization; China; Yangtze River
Abstract:
... The development of the catering industry in big cities is of great significance for countries to improve the quality of development and improve people’s living standards. In recent years, the urban catering industry has effectively promoted the process of urbanization, and it is significant to study the development characteristics and spatial distribution of the catering industry for the urban pat ...
DOI:
10.3390/ijgi11060321

18. Analysis of the Spatio-Temporal Characteristics of Nanjing’s Urban Expansion and Its Driving Mechanisms

Author:
Yiming Tao; Ruhai Ye
Source:
ISPRS international journal of geo-information 2022 v.11 no.7 pp. -
ISSN:
2220-9964
Subject:
center of gravity,   etc   ; evolution; industry; regression analysis; spatial data; topography; urban areas; urbanization; Yangtze River;     Show all 9 Subjects
Abstract:
... The expansion and evolution of urban areas are the most perceptible manifestations of the transformation of the urban spatial form. This study uses remote sensing images of Nanjing from 2001, 2006, 2011, 2016, and 2021, along with socio-economic data to analyse the spatio-temporal characteristics of the city’s urban expansion. Furthermore, we utilize a binary logistic regression to quantitatively ...
DOI:
10.3390/ijgi11070406

19. Analyzing the Behaviors of OpenStreetMap Volunteers in Mapping Building Polygons Using a Machine Learning Approach

Author:
Müslüm Hacar
Source:
ISPRS international journal of geo-information 2022 v.11 no.1 pp. -
ISSN:
2220-9964
Subject:
humans; spatial data; statistics
Abstract:
... Mapping as an action in volunteered geographic information is complex in light of the human diversity within the volunteer community. There is no integrated solution that models and fixes all data heterogeneity. Instead, researchers are attempting to assess and understand crowdsourced data. Approaches based on statistics are helpful to comprehend trends in crowd-drawing behaviors. This study exami ...
DOI:
10.3390/ijgi11010070

20. An Application of Improved MODIS-Based Potential Evapotranspiration Estimates in a Humid Tropic Brantas Watershed—Implications for Agricultural Water Management

Author:
Ike Sari Astuti; Bagus Setiabudi Wiwoho; Purwanto Purwanto; Satti Wagistina; Ifan Deffinika; Hetty Rahmawati Sucahyo; Gilang Aulia Herlambang; Imam Abdul Gani Alfarizi
Source:
ISPRS international journal of geo-information 2022 v.11 no.3 pp. -
ISSN:
2220-9964
Subject:
climate; evapotranspiration; hydrologic cycle; neural networks; spatial data; topography; vegetation cover; water management; watersheds
Abstract:
... The reliance on native MODIS-16 PET potential evapotranspiration (PET) in scarce-data-driven areas is growing in support among ecohydrological studies, yet information about its performance is limited or unknown as validation studies are mostly concentrated in developed countries. This study aimed to assess its performance at the monthly level using four ground measurements in a tropical watershed ...
DOI:
10.3390/ijgi11030182