An urban, commercial central district is often regarded as the heart of a city. Therefore, quantitative research on districts plays an important role when studying development and evaluation urban spatial layouts. However, conventional planar kernel density estimation (KDE) network (network KDE) do not reflect fact that road high in districts. To solve this problem, paper proposes new method (commercial-intersection KDE), which combines intersections with KDE to identify based point interest...

Abstract Accurate reading of a pointer meter is crucial task in complex environments, such as substations, the military and aerospace. Current recognition algorithms are mainly used to identify same type non-tilt meter, which has limited application real environment. In this paper, we propose novel end-to-end intelligent method for based on deep learning, locates extracts simultaneously without any prior information. particular, directly precisely extracted using designed semi-pointer...

Studies on urban–rural fringes, which represent regions facing various urbanization problems caused by rapid expansion, have steadily increased in recent years. However, persist the quantitative delimitation of such regions. Based characteristics abrupt urbanization-level changes fringe areas, we propose a constraint-based method this study to detect fringes cities with spatial polycentric structure 'Main center–Subcenter' based data from multiple sources. We used proposed approach...

Artificial terraces are of great importance for agricultural production and soil water conservation. Automatic high-accuracy mapping artificial is the basis monitoring related studies. Previous research achieved terrace based on high-resolution digital elevation models (DEMs) or imagery. As a result contextual information mapping, object-based image analysis (OBIA) combined with machine learning (ML) technologies widely used. However, selection an appropriate classifier task. In this study,...

The precise recognition of urban fringes is vital to monitor sprawl and map management planning. spatial clustering method a prevalent way identify due its objectivity convenience. However, previous studies had problems with ignoring heterogeneity, which could overestimate or underestimate the results. Nighttime light can reflect transitional urban–rural regions’ regional characteristics be used fringes. Accordingly, new model has been established for fringe identification by combining...

It has been suggested that the method of constructing an urban spatial structure typically follows a forward process from planning and design up to expression, as reflected in both graphic text descriptions planning. Although unorthodox, original status structures can be extracted constructed existing land-use map. This approach not only provides methodological foundation for evolution allows comparative quantitative analysis between planned conditions, but also lays theoretical basis...

With the availability of large geospatial datasets, study collective human mobility spatiotemporal patterns provides a new way to explore urban spatial environments from perspective residents. In this paper, we constructed classification model for that is suitable taxi OD (Origin-Destination) point data, and it comprised three parts. First, aggregate unit, which uses road intersection as constraint condition, designed analysis data. Second, time series similarity measurement improved by...

While many published studies have explored the impact of spatial heterogeneity on land-use change, few focused regional differences in transition rules caused by urban structure. In this paper, we measured diversity developing self-adaptive kernel density estimation and entropy weight methods determine structure (composed regions, inner outer urban-rural fringes, a rural hinterland) applying spectral clustering method. Combining local neighborhood effects environmental effects, different...

Traditional cell-based cellular automata (CA) models use a regular grid to represent geographic space, and new approaches CA have explored the of vector representation space instead characterize urban more realistically. However, less attention has been paid modeling interaction between geospatial information irregular cells. To date, majority spatial boundaries created by individual agencies in an uncoordinated manner. As consequence, potential uses data collected for land-use change are...

In order to study the changes of air quality index (AQI) in Yanqing County, Beijing, China and predict trend AQI value, this paper constructed a time-series analysis.A non-stationary is found, ARIMA (1, 1, 2) model Holt exponential smoothing are found sufficiently data. comparison these two fittings, modelling result better than modelling's terms capturing MSE, data it apply future values.

Night-time light data (NTL) have been extensively utilized to map urban fringe areas, but date, there has not a comprehensive evaluation of the existing spatial clustering methods for delineating using different types night-time data. Therefore, we first selected three popular sources (i.e., NPP/VIIRS, Luojia 1-01, and NASA’s Black Marble) identify fringe. The recognition mutations across urban–rural gradient was conducted based on changes in night intensity continuous wavelet transform...

While cellular automata (CA) has become increasingly popular in land-use and land-cover change (LUCC) simulations, insufficient research considered the spatiotemporal heterogeneity of urban development strategies applied it to constrain CA models. Consequently, we proposed add a zoning transition rule planning influence that consists grade coefficient traffic facility model reflect top-down heterogeneous characteristics spatial layout dynamic external interference facilities on development....

Since the tilted meter will cause reading error in automatic recognition of image, a fast

The traditional process for selecting urban gas station sites often emphasizes economic benefits and return on investment, frequently overlooking mandatory guiding constraints established by territorial spatial planning regulations. This neglect can compromise the effective layout future growth of cities, potentially affecting their long-term development. To address this issue, study develops a systematic framework site selection that integrates both constraints. By conducting detailed...

This paper analyzes the present situation of Beijing logistics development, starting from total economic output, structure, location and other aspects, basic is analyzed. From transportation infrastructure construction situation, current status development industry, enterprises are analyzed in terms problems development; then further analysis environment, all these indicate that it very necessary for demand forecast. Using econometric model to analyze forecast logistics, discusses...

Abstract The detection of spatial clusters, taking into account both proximity and attribute similarity, plays a vital role in data analysis. Although several dual clustering methods are currently available the literature, most them have detected homogeneous spatially adjacent clusters suffering from between‐cluster inhomogeneity noise, where those points been described domain. This article aims to accommodate similarity with presence heterogeneity noise. In this algorithm, Delaunay...

Abstract Urban land‐use change is the result of coupling interaction between planning and environment systems. The aim our study was to construct an effective model show how urban changes under planning–environment system with multi‐hierarchy major function oriented zoning. Combining Cellular automata (CA) logistic regression model, proposed multi‐hierarchal vector CA (MH‐VCA3) constructed by mining transition rules system. Taking Jiangyin City (China) as example, we compared simulated those...

Aiming at the deficiency that blockchain technology is too sensitive to binary-level changes of high resolution remote sensing (HRRS) images, we propose a new subject-sensitive hashing algorithm specially for HRRS image blockchains. To implement this algorithm, designed and implemented deep neural network model MultiRes-RCF (richer convolutional features) extracting features from images. A an improved RCF borrows MultiRes mechanism MultiResU-Net. The based on can detect subtle tampering...

Light rail transit (LRT), an essential urban public transport system in China, significantly reshaped the land-use (LU) pattern. Although LRT impact and change (LUC) analysis plays role planning policy, spatiotemporal heterogeneity of impacts have not been considered LUC simulation studies. This study simulates LU change, considering construction on LUC. from 1995 to 2005 Nanjing, is chosen as a case study. At first, distance decay function employed verify quantitative change. Accordingly,...

In cellular automata (CA) modeling, spatial heterogeneity can be delineated by geographical area partitioning. The dual constrained space clustering method is a prevalent approach for providing an objective and effective representation of differences within urban regions. However, previous studies faced issues ignoring heterogeneity, which could lead to over- or under-estimation the simulation results. Accordingly, this study attempts incorporate spatially heterogeneous partitioning into...