Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method

Liu, Lingbo; Xia, Binxin; Wu, Hao; Zhao, Jie; Peng, Zhenghong; Yu, Yang

doi:10.3390/e21050458

Cited by 11 publications

(8 citation statements)

References 37 publications

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“…Finally, concerning the selection of the largest clusters across scales (i.e. the Natural Cities), it is worth noticing that Wang et al (2015) and Liu et al (2019) propose to use the maximal entropy instead of the head/tail breaks to identify the optimal size of clusters. This alternative is not considered in this paper but could be worth testing further.…”

Section: Natural Citiesmentioning

confidence: 99%

“…4. Analyses of a statistical distribution across scales -for example, distribution of distances between buildings, street blocks, road intersections or points of interest -and identification of a threshold in this scaling distribution (Arcaute et al, 2016;Jiang, 2013Jiang, , 2015Jiang & Jia, 2011;Jiang & Liu, 2012;Jiang & Miao, 2015;Liu et al, 2019;Long, 2016;Masucci et al, 2015;Tannier et al, 2011;Tannier & Thomas, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Delineation of cities based on scaling properties of urban patterns: a comparison of three methods

Montero

Tannier²,

Thomas

2021

International Journal of Geographical Information Science

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Identifying urban boundaries involves analysing both the functional and the morphological aspects of urban systems. In this paper, we adopt a purely morphological approach and compare three methods for the morphological delineation of cities. Each method avoids using any predefined quantified threshold (size, distance, built density, etc.) to detect crucial discontinuities in space. The first method identifies Natural Cities by clustering points. The other two are the fractal-based MorphoLim method and the Hierarchical Percolation; both involve transforming the data using a step-by-step dilation process. The three methods are critically compared and illustrated by applications to theoretical urban patterns. We further apply each method to the urban agglomeration of Brussels, the Belgian capital, using different data (building footprints, building centroids and street nodes) and considering two study areas, namely the former province of Brabant and the entire country of Belgium. The results show that it is impossible to draw an unambiguous morphological boundary for an urban agglomeration. Consequently, it is crucial to relate the data used, the size of the study area and the method chosen to the objectives of the delineation.

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Section: Natural Citiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Delineation of cities based on scaling properties of urban patterns: a comparison of three methods

Montero

Tannier²,

Thomas

2021

International Journal of Geographical Information Science

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“…The procedure for creating a service area from a road network has been sufficiently described in the literature [78][79][80] and in the assistance provided by the software used [81], although a rough outline is given in Figure 3a, (origin), which allows the accessibility of each of the Historical Ensembles (destination) to be measured, most of which are located in the rural milieu. Four categories were established in all.…”

Section: Service Areamentioning

confidence: 99%

The Cultural Heritage and the Shaping of Tourist Itineraries in Rural Areas: The Case of Historical Ensembles of Extremadura, Spain

Martín

Gurría-Gascón

García-Berzosa

2020

IJGI

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Heritage is a very complex concept that is characterized by having multiple meanings. Despite this, there is no doubt as to its attraction for carrying out tourist activities. In the specific case of cultural heritage, there is widespread agreement in considering it as a tourist resource given the interest it raises amongst visitors of all origins. This is not, however, always the case and it can be observed that in certain areas, especially rural ones, certain limitations exist. They are caused by multiple factors such as the importance of the resource itself, although the distance to the main centers of tourist attraction is also considered a key point. Due to this, the study puts forward the need for joining forces and attractions in order to create tourist itineraries based on a peculiar kind of resource: Historical Ensembles. In order to achieve this aim, we used the network analysis tools included in a geographical information system and applied it to a rural context, which was that of Extremadura in Spain. To be precise, the closest facility and service area tools were used. The results of the various analyses reflect the real possibility of generating tourist itineraries as a first step in the design of tourist products. In this way, the administration can be provided with a management tool capable of laying the foundations of a coherent and efficient tourist policy.

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“…Hence, to improve computational efficiency and eliminate redundant information, it is necessary to adopt an appropriate algorithm to select a subset of features from multi-domain features for fault detection. Entropy weight method (EWM) is a comprehensive evaluation method for evaluating the importance of different feature indexes [37]. Due to the calculation process of EWM is simple and easy to understand.…”

Section: Ewm For Feature Selectionmentioning

confidence: 99%

A Feature Selection Framework-Based Multiscale Morphological Analysis Algorithm for Fault Diagnosis of Rolling Element Bearing

2019

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Multiscale morphological analysis (MMA) is considered as a prevalent and efficient approach of mathematical morphology (MM), which has received a lot of attention in fault diagnosis. However, traditional MMA mainly focuses on the selection of structuring element (SE) scale and fault feature extraction based on single index, which is not easy to get comprehensive and rich fault information. Consequently, for the purpose of solving the issue of losing local fault information of integrating traditional MMA with single index and improving fault feature extraction accuracy, a new algorithm named feature selection framework-based multiscale morphological analysis (FS-MMA) is proposed in this paper. Within this algorithm, the weighted MMA is firstly formulated through the incorporation of three operations (i.e. combination morphological filter-hat transform (CMFH), multicale SE and weighted arithmetic), which can cover fault symptoms at different scales. Subsequently, multi-domain features of the raw vibration signal are calculated and entropy weight method (EWM) is adopted to select several typical sensitive features. Finally, grey correlation analysis (GCA) is conducted to determine the optimal SE scale of MMA and achieve fault feature extraction of rolling element bearing. The effectiveness and feasibility of the presented algorithm are validated by analyzing the simulated and experimental bearing fault data. The analysis results show that FS-MMA has better performance in bearing fault feature extraction and diagnosis accuracy compared with traditional MMA with single index. INDEX TERMS Multiscale morphological analysis, grey correlation analysis, structuring element, rolling bearing, fault diagnosis.

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Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method

Cited by 11 publications

References 37 publications

Delineation of cities based on scaling properties of urban patterns: a comparison of three methods

Delineation of cities based on scaling properties of urban patterns: a comparison of three methods

The Cultural Heritage and the Shaping of Tourist Itineraries in Rural Areas: The Case of Historical Ensembles of Extremadura, Spain

A Feature Selection Framework-Based Multiscale Morphological Analysis Algorithm for Fault Diagnosis of Rolling Element Bearing

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