Abstract This study evaluates the influences of air pollution in China using a recently proposed model—multi‐scale geographically weighted regression (MGWR). First, we review previous research on determinants quality. Then, explain MGWR model, together with two global models: ordinary least squares (OLS) and OLS containing spatial lag variable (OLSL) commonly used local model: (GWR). To detect account for any variation autocorrelation over space, construct extra models which call GWR lagged...

This study investigates the association between urban vitality and street centrality in Wuhan, China. Urban was measured with social network review data. Street evaluated terms of closeness, straightness, betweenness walking driving mode. We constructed a square mesh to convert datasets (segments) (points) into one unit for analysis. Geospatial visualization, chi-square test, correlation analysis were first employed obtain an initial understanding spatial coupling relationship centrality....

The U.S. has merely 4% of the world population, but contains 25% world’s COVID-19 cases. Since outbreak in U.S., Massachusetts been leading other states total number Racial residential segregation is a fundamental cause racial disparities health. Moreover, access to health care have large impact on Thus, this study estimates and testing site employs economic, demographic, transportation variables at city/town level Massachusetts. Spatial regression models are applied evaluate relationships...

The occurrence of street crime is affected by socioeconomic and demographic characteristics also influenced streetscape conditions. Understanding how the spatial distribution associated with different features significant for establishing prevention city management strategies. Conventional data sources that quantify people on characteristics, such as questionnaires, field surveys, or manual audits, are labor-intensive, time-consuming, unable to cover a large area sufficient resolution....

Sentiment affects every aspect of people's lives and has strong impact on their mental health. This paper explores local users' sentiments extracted from Geo-tweets data January to December 2016, analyzed in the spatial temporal perspective. Because large amount noisy complicated procedure extracting user, a workflow is created, facilitating more researchers reproduce, replicate or extend procedures using similar Geo-tweet dataset. The sharing at Harvard Dataverse...

Besides high accuracy, stability of feature selection has recently attracted strong interest in knowledge discovery from high-dimensional data. In this study, we present a theoretical framework about the relationship between and accuracy based on formal bias-variance decomposition error. The also suggests variance reduction approach for improving algorithms. Furthermore, propose an empirical framework, margin instance weighting, which weights training instances according to their influence...

Materialized views (MVs) can significantly optimize the query processing in databases. However, it is hard to generate MVs for ordinary users because relies on background knowledge, and existing methods rely DBAs maintain MVs. cannot handle large-scale databases, especially cloud databases that have millions of database instances support users. Thus calls an autonomous MV management system. In this paper, we propose materialized view system, AutoView. It analyzes workloads, estimates costs...

Investigating the spatial distribution patterns of disease and suspected determinants could help one to understand health risks. This study investigated potential risk factors associated with COVID-19 mortality in continental United States. We collected death cases from 3108 counties 23 January 2020 31 May 2020. Twelve variables, including demographic (the population density, percentage 65 years over, non-Hispanic White, Hispanic, Black, Asian individuals), air toxins (PM2.5), climate...

Street crime is a common social problem that threatens the security of people's lives and property. Understanding influencing mechanisms street an essential precondition for formulating prevention strategies. Widespread concern has contributed to development streetscape environment features as they can significantly affect occurrence crime. Emerging view images are low-cost highly accessible data source. On other hand, machine-learning models such XGBoost (eXtreme Gradient Boosting) usually...

Many studies have identified the influences of PM2.5. However, very little research has addressed spatiotemporal dependence and heterogeneity in relationships between impact factors This study firstly utilizes spatial statistics time series analysis to investigate temporal PM2.5 at city level China using a three-year (2015–2017) dataset. Then, new local regression model, multiscale geographically weighted (MGWR), is introduced, based on which we measure influence A lag constructed included...

It is widely recognized that crimes are clustered in space. Features of the built environment among various factors associated with crime clustering patterns. There two competing perspectives on this association: “encounter” and “enclosure” hypotheses. This study examines effect spatial distribution residential burglary Wuhan, China, aiming to test these perspectives. First, we review existing studies analyzing influence burglary, especially those based We then conduct an exploratory data...

Automatic vehicle identification (AVI) systems collect 24 h travel data for the efficient management of traffic flows. The automatic collected by an overhead monitoring system provides a means understanding urban flows and human mobility. This article explores weekly patterns private vehicles based on AVI in Wuhan, megacity Central China. We extracted origin–destination information applied K-Means clustering algorithm to classify spatial hot spots camera locations. Subsequently, Latent...

ABSTRACT The U.S. has merely 4% of the world population but 25% world’s COVID-19 cases. Massachusetts been in leading position total cases since outbreak Racial residential segregation is a fundamental cause racial disparities health. Moreover, access to health care have large impact on Thus, this study estimates and testing sites employs economic, demographic, transportation variables at city/town level Massachusetts. Spatial regression models are applied evaluate relationships between...

Fall has been the second most cause of accidental injury to death in world. It a serious threat physical and mental health elders. Therefore, developing wearable node system with fall detecting ability become increasingly pressing at present. A novel smart button for long-term detection is proposed this paper, which able accurately monitor falling behavior, sending warning message online as well. The based on tri-axis acceleration sensor used collect body motion signals. By using statistical...

In applications of Web data integration, we frequently need to identify whether objects in different sources represent the same entity real world. This problem is known as resolution. this paper, propose a generic framework for resolution relational sets, called BARM, consisting Blocker, Attribute matchers and Record Matcher. BARM convenient blocking matching algorithms fit into it. For blocker, apply SPectrAl Neighborhood (SPAN), state-of-the-art algorithm, our sets show that SPAN effective...