Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems最新文献

Fast transportation network traversal with hyperedges: (industrial paper) 具有超边缘的快速运输网络遍历:(工业用纸)

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI: 10.1145/2996913.2996991

P. Bakalov, E. Hoel, Wee-Liang Heng

{"title":"Fast transportation network traversal with hyperedges: (industrial paper)","authors":"P. Bakalov, E. Hoel, Wee-Liang Heng","doi":"10.1145/2996913.2996991","DOIUrl":"https://doi.org/10.1145/2996913.2996991","url":null,"abstract":"Network data models are frequently used as a mechanism to solve wide range of problems typical for the GIS applications and transportation planning in particular. Because of their popularity and efficiency those models tend to grow in size and complexity. This growth however creates multiple scalability issues caused by the large number of network elements that have to be examined during the network traversal. In this paper we present an extension of our network model tailored towards improving the performance of hierarchical point to point solve operations. The proposed solution is based on introducing a new network edge type that we term hyperedges. We describe how hyperedges can be specified with a re-interpretation of our existing any-vertex connectivity policy on edges, discusses some modeling issues, and also provide insights of our implementation experience and the impact which those novel network elements have on the solve performance. Our solution is based on the existing database functionality (tables, joins, sorting algorithms) provided by a standard relational DBMS and has been implemented and tested and currently being shipped as a part of the ESRI ArcGIS 10.1 platform and all subsequent releases.","PeriodicalId":20525,"journal":{"name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73759982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach 气象参数预测:后验概率语义克里格方法

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI: 10.1145/2996913.2996968

Shrutilipi Bhattacharjee, Monidipa Das, S. Ghosh, S. Shekhar

{"title":"Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach","authors":"Shrutilipi Bhattacharjee, Monidipa Das, S. Ghosh, S. Shekhar","doi":"10.1145/2996913.2996968","DOIUrl":"https://doi.org/10.1145/2996913.2996968","url":null,"abstract":"Meteorological parameters are often considered as crucial factors for climatological pattern analysis. Predictions of these parameters have been studied extensively in the field of remote sensing and GIS. It is one of the most critical steps involved in most of the meteorological data mining process. Spatial interpolation is an efficient technique to yield minimal error in prediction. From existing literatures, it is evident that the land-use/land-cover (LULC) distribution of the terrain influences these parameters in a varying manner and it is important to model their behaviour for climatological analyses. However, this semantic LULC knowledge of the terrain is generally ignored in the prediction process of the meteorological parameters. Recently, we have proposed a new spatial interpolation technique, namely semantic kriging (SemK) [3,5,7], which considers the semantic LULC knowledge for land-atmospheric interaction modeling and incorporates it into the existing interpolation process for better accuracy. However, the a-priori correlation analysis of SemK ignores the effect of other nearby LULC classes on each other. This article presents a new variant of SemK, namely a-posterior probabilistic Bayesian SemK (BSemK), which extends the a-priori correlation analysis of SemK with a-posterior probabilistic analysis. The proposed approach provides more accurate estimation of the parameters. Experimentation with LST data advocates the efficacy of the proposed approach compared to the a-priori SemK and other existing interpolation techniques.","PeriodicalId":20525,"journal":{"name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75484207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

City form and well-being: what makes London neighborhoods good places to live? 城市形态与幸福感:是什么让伦敦社区成为适宜居住的地方?

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI: 10.1145/2996913.2997011

A. Venerandi, G. Quattrone, L. Capra

引用次数: 13

Activity-based ridesharing: increasing flexibility by time geography 基于活动的拼车:增加时间地理的灵活性

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI: 10.1145/2996913.2997002

Yaoli Wang, Ronny J. Kutadinata, S. Winter

引用次数: 30

Massively parallel algorithms for computing TIN DEMs and contour trees for large terrains 大型地形TIN dem和等高线树计算的大规模并行算法

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI: 10.1145/2996913.2996952

Abhinandan Nath, K. Fox, Kamesh Munagala, P. Agarwal

引用次数: 7

Location privacy for group meetups 团体聚会的位置隐私

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI: 10.1145/2996913.2996966

A. K. M. M. R. Khan, L. Kulik, E. Tanin

引用次数: 1

From verbal route descriptions to sketch maps in natural environments 从口头路线描述到自然环境中的素描地图

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI: 10.1145/2996913.2997003

Lamia Belouaer, David Brosset, Christophe Claramunt

引用次数: 4

ADCN: an anisotropic density-based clustering algorithm ADCN:基于各向异性密度的聚类算法

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI: 10.1145/2996913.2996940

Gengchen Mai, K. Janowicz, Yingjie Hu, Song Gao

引用次数: 5

Coverage and diversity aware top-k query for spatio-temporal posts 基于覆盖和多样性的时空职位top-k查询

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI: 10.1145/2996913.2996941

Paras Mehta, Dimitrios Skoutas, Dimitris Sacharidis, A. Voisard

{"title":"Coverage and diversity aware top-k query for spatio-temporal posts","authors":"Paras Mehta, Dimitrios Skoutas, Dimitris Sacharidis, A. Voisard","doi":"10.1145/2996913.2996941","DOIUrl":"https://doi.org/10.1145/2996913.2996941","url":null,"abstract":"Large amounts of user-generated content are posted daily on the Web, including textual, spatial and temporal information. Exploiting this content to detect, analyze and monitor events and topics that have a potentially large span in space and time requires efficient retrieval and ranking based on criteria including all three dimensions. In this paper, we introduce a novel type of spatial-temporal-keyword query that combines keyword search with the task of maximizing the spatio-temporal coverage and diversity of the returned top-f results. We first describe a baseline algorithm based on related search results diversification problems. Then, we develop an efficient approach which exploits a hybrid spatial-temporal-keyword index to drastically reduce query execution time. To that end, we extend two state-of-the- art indices for top-f spatio-textual queries and describe how our proposed approach can be applied on top of them. We evaluate the efficiency of our algorithms by conducting experiments on two large, real-world datasets containing geotagged tweets and photos.","PeriodicalId":20525,"journal":{"name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91341061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

DNN-based prediction model for spatio-temporal data 基于dnn的时空数据预测模型

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI: 10.1145/2996913.2997016

Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi

引用次数: 536