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QUIET ZONE: Reducing The Communication Cost of Continuous Spatial Queries
The client server model has been extensively used to continuously monitor the results of spatial queries. In this paper, we introduce quiet zone that is aimed to reduce the communication cost in the client server model implemented for continuous spatial ...
Trajectory Query Based on Trajectory Segments with Activities
Searching trajectories with activities has attracted much attention in the last decade. Existing studies tend to find trajectories with activities matched to the required keywords. However, returned trajectories may have a satisfying textual matching ...
Using Yelp to Find Romance in the City: A Case of Restaurants in Four Cities
Romantic relationships are an understudied aspect of cities and the built environment. Yet, restaurants continue to attract couples and augment the landscape with visible signs of affection at a table for two---or more. User-generated content (UGC) of ...
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use
This paper performs a quantitative comparison of open-source data available on the Internet for the fine-grain mapping of land use. Three points of interest (POI) data sources--Google Places, Bing Maps, and the Yellow Pages--and one volunteered ...
Towards a hybrid framework for the visualization and analysis of 3D spatial data
Several geospatial problems like urban subsurface analysis involve data from multiple domains and nature. For instance, an urban infrastructure analysis must take into account not only the urban elements but their geological environment. This requires ...
Trajectory Annotation by Discovering Driving Patterns
The ubiquity and variety of available sensors has enabled the collection of voluminous datasets of car trajectories that enable analysts to make sense of driving patterns and behaviors. One approach to obtain driving behaviors is to break a trajectory ...
Automatic Spatio-temporal Indexing to Integrate and Analyze the Data of an Organization
Organizations are awash in data. In many cases, they do not know what data exists within the organization and much information is not available when needed, or worse, information gets recreated from other sources. In this paper, we present an automatic ...
Ontology-based Instance Matching for Geospatial Urban Data Integration
To run a smart city, data is collected from disparate sources such as IoT devices, social media, private and public organizations, and government agencies. In the US, the City of Chicago has been a pioneer in the collection of data and in the ...
Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information
Infrastructure maintenance requires extensive financial and human resources, and a lack of these resources---and, in particular, a shortage of experts---is a problem in many countries and regions around the world. In response to such circumstances, ...
Continuously Generalizing Buildings to Built-up Areas by Aggregating and Growing
To enable smooth zooming, we propose a method to continuously generalize buildings from a given start map to a smaller-scale goal map, where there are only built-up area polygons instead of individual building polygons. We name the buildings on the ...
flowHDBSCAN: A Hierarchical and Density-Based Spatial Flow Clustering Method
Understanding the patterns and dynamics of spatial origin-destination flow data has been a long-standing goal of spatial scientists. This study aims at developing a new flow clustering method called flowHDBSCAN, which has the potential to be applied to ...
Real-Time Bayesian Micro-Analysis for Metro Traffic Prediction
Metro transport plays a large role in major cities around the world as an easily accessible and convenient means of transit. We propose a novel approach to forecast the metro network flow of passengers, which is exceptionally useful for city planning. ...
Linked Data and Visualization: Two Sides of the Transparency Coin
Transparency is an important element of smart cities, and ongoing work is exploring the use of available open data to maximize it. This position paper argues that Linked Data and visualization play similar roles, for different agents, in this context. ...
Predictive Analytics Using Text Classification for Restaurant Inspections
According to the Center for Disease Control (CDC), there are almost 48 million people affected by foodborne diseases in the U.S. every year, including 3,000 deaths. The most effective way of avoiding food poisoning would be its prevention. However, ...
Rapid development of semantic 3D city models for urban energy analysis based on free and open data sources and software
Geospatial data, specifically semantic 3D building data, plays a crucial role in urban energy analysis as spatial calculations using 3D geometries usually form the basis for energy simulation and modelling needed for numerous smart cities applications. ...
The Relationship between Timing of Development and Bus Rapid Transit
The city of Curitiba in southern Brazil is considered to be the cradle of the Bus Rapid Transit (BRT) system. Curitiba has a population of around 1.9 million people and has a higher development index than Brazil in general. A master plan approved in the ...
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1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News (LENS 2017): Redondo Beach, California, USA - November 7, 2017
The 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News (LENS 2017) was held in conjunction with the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017). The workshop is intended ...