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LocalRec 2021 Workshop Report: The Fifth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising LocalRec 2021研讨会报告:第五届ACM SIGSPATIAL研讨会:基于位置的推荐、地理社交网络和地理广告
SIGSPATIAL Special Pub Date : 2021-11-01 DOI: 10.1145/3578484.3578486
Panagiotis Bouros, T. Dasu, Y. Kanza, M. Renz, Dimitris Sacharidis
{"title":"LocalRec 2021 Workshop Report: The Fifth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising","authors":"Panagiotis Bouros, T. Dasu, Y. Kanza, M. Renz, Dimitris Sacharidis","doi":"10.1145/3578484.3578486","DOIUrl":"https://doi.org/10.1145/3578484.3578486","url":null,"abstract":"The amount of publicly available geo-referenced data has seen a dramatic increase over the last years. Many user activities generate data that are annotated with location and contextual information. It has also become easier to collect and combine rich and diverse location information. In the context of geoadvertising, the use of geosocial data for targeted marketing is receiving significant attention from a wide spectrum of companies and organizations. With the advent of smartphones and online social networks, a multi-billion dollar industry that utilizes geosocial data for advertising and marketing has emerged. Geotagged social-media posts, GPS traces, data from cellular antennas and WiFi access points are used widely to directly access people for advertising, recommendations, marketing, and group purchases. Exploiting this torrent of geo-referenced data provides a tremendous potential to materially improve existing recommendation services and offer novel ones, with numerous applications in many domains, including social networks, marketing, and tourism.","PeriodicalId":219256,"journal":{"name":"SIGSPATIAL Special","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115219764","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: 0
ARIC 2021 Workshop Report: The 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities ARIC 2021研讨会报告:第四届ACM SIGSPATIAL弹性和智慧城市进展国际研讨会
SIGSPATIAL Special Pub Date : 2021-11-01 DOI: 10.1145/3578484.3578489
B. Kar, Shima Mohebbi, G. Fu, Xinyue Ye, O. Omitaomu
{"title":"ARIC 2021 Workshop Report: The 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities","authors":"B. Kar, Shima Mohebbi, G. Fu, Xinyue Ye, O. Omitaomu","doi":"10.1145/3578484.3578489","DOIUrl":"https://doi.org/10.1145/3578484.3578489","url":null,"abstract":"This report summarizes the focus of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2021 - https://urbands.github.io/ARIC2021/) that was held virtually online on November 2, 2021. The attendance for the workshop was 40. The ARIC workshop started in 2017 with an aim to promote the interdisciplinary discussions among researchers, practitioners and developers to identify techniques and methods that would enable building next generation cities and infrastructures. This workshop continued its mission of bringing together researchers and practitioners to address the state-of-the-art techniques/methods, limitations and challenges to making cities both resilient and intelligent after the COVID-19 pandemic.","PeriodicalId":219256,"journal":{"name":"SIGSPATIAL Special","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127254503","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: 0
GeoSim 2021 Workshop Report: The 4th ACM SIGSPATIAL International Workshop on Geospatial Simulation GeoSim 2021研讨会报告:第四届ACM SIGSPATIAL国际地理空间模拟研讨会
SIGSPATIAL Special Pub Date : 2021-11-01 DOI: 10.1145/3578484.3578487
Joon-Seok Kim, T. Anderson, Ashwin Shashidharan, Jeon-Young Kang
{"title":"GeoSim 2021 Workshop Report: The 4th ACM SIGSPATIAL International Workshop on Geospatial Simulation","authors":"Joon-Seok Kim, T. Anderson, Ashwin Shashidharan, Jeon-Young Kang","doi":"10.1145/3578484.3578487","DOIUrl":"https://doi.org/10.1145/3578484.3578487","url":null,"abstract":"Geospatial simulation is an effective tool to experience physical and/or cyber space (e.g., metaverse). New experiences gained from geospatial simulations can bring significant benefits including situation awareness, insight into environments, and entertainment. To take advantage of such simulations, it is crucial to advance methodology of modeling and simulation, develop plausible models and apply them to domains, leveraging big data and evolving technologies.","PeriodicalId":219256,"journal":{"name":"SIGSPATIAL Special","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126217281","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: 0
GeoAI at ACM SIGSPATIAL GeoAI在ACM SIGSPATIAL
SIGSPATIAL Special Pub Date : 2021-11-01 DOI: 10.1145/3578484.3578491
D. Lunga, Yingjie Hu, S. Newsam, Song Gao, B. Martins, Hsiuhan Lexie Yang, Xueqing Deng
{"title":"GeoAI at ACM SIGSPATIAL","authors":"D. Lunga, Yingjie Hu, S. Newsam, Song Gao, B. Martins, Hsiuhan Lexie Yang, Xueqing Deng","doi":"10.1145/3578484.3578491","DOIUrl":"https://doi.org/10.1145/3578484.3578491","url":null,"abstract":"Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field enjoying tremendous adoption. However, the efficient design and implementation of GeoAI systems face many open challenges. This is mainly due to the lack of non-standardized approaches to artificial intelligence tool development, inadequate platforms, and a lack of multidisciplinary engagements, which all motivate domain experts to seek a shared stage with scientists and engineers to solve problems of significant impact on society. Since its inception in 2017, the GeoAI series of workshops has been co-located with the Association for Computing Machinery International Conference on Advances in Geographic Information Systems. The workshop series has fostered a nexus for geoscientists, computer scientists, engineers, entrepreneurs, and decision-makers, from academia, industry, and government to engage in artificial intelligence, spatio-temporal data computing, and geospatial data science research, motivated by various challenges. In this article, we revisit and discuss the state of GeoAI open research directions, the recent developments, and an emerging agenda calling for a continued cross-disciplinary community engagement.","PeriodicalId":219256,"journal":{"name":"SIGSPATIAL Special","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125174098","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
GeoHumanities 2021 Workshop Report 地球人文2021研讨会报告
SIGSPATIAL Special Pub Date : 2021-11-01 DOI: 10.1145/3578484.3578488
Ludovic Moncla, Carmen Brando, Katherine McDonough
{"title":"GeoHumanities 2021 Workshop Report","authors":"Ludovic Moncla, Carmen Brando, Katherine McDonough","doi":"10.1145/3578484.3578488","DOIUrl":"https://doi.org/10.1145/3578484.3578488","url":null,"abstract":"This article reports on the 5th ACM SIGSPATIAL Workshop on Geospatial Humanities, held in conjunction with the 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. The article outlines the objectives of the workshop, and briefly describes the technical program.","PeriodicalId":219256,"journal":{"name":"SIGSPATIAL Special","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124563814","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: 0
The 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2021), Beijing, China 第14届ACM SIGSPATIAL计算交通科学国际研讨会(IWCTS 2021)，中国北京
SIGSPATIAL Special Pub Date : 2021-11-01 DOI: 10.1145/3578484.3578490
A. Berres, Kuldeep R. Kurte, Rajesh Paleti
{"title":"The 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2021), Beijing, China","authors":"A. Berres, Kuldeep R. Kurte, Rajesh Paleti","doi":"10.1145/3578484.3578490","DOIUrl":"https://doi.org/10.1145/3578484.3578490","url":null,"abstract":"This report summarizes the 14th edition of the International Workshop on Computational Transportation Science (IWCTS 2021).","PeriodicalId":219256,"journal":{"name":"SIGSPATIAL Special","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122175014","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: 0
HaniMob 2021 Workshop Report: The 1st ACM SIGSPATIAL Workshop on Animal Movement Ecology and Human Mobility HaniMob 2021研讨会报告:第一届ACM sigspace动物运动生态学和人类流动性研讨会
SIGSPATIAL Special Pub Date : 2021-11-01 DOI: 10.1145/3578484.3578492
F. Ossi, F. Hachem, F. Cagnacci, Urška Demšar, M. Damiani
{"title":"HaniMob 2021 Workshop Report: The 1st ACM SIGSPATIAL Workshop on Animal Movement Ecology and Human Mobility","authors":"F. Ossi, F. Hachem, F. Cagnacci, Urška Demšar, M. Damiani","doi":"10.1145/3578484.3578492","DOIUrl":"https://doi.org/10.1145/3578484.3578492","url":null,"abstract":"Movement ecology is a relatively new discipline in the field of ecology that studies the spatio-temporal patterns and processes at the basis of animal movement [8]. Ecologists track animal movement using telemetry tools (such as for example bio-logging GPS tags), and then combine resulting trajectories with contextual data on environment, such as those collected through remote sensing. Combined data are then used to build statistical models that describe the determinants of animal movement, such as environmental constraints (e.g. snow layer, habitat fragmentation, human disturbance) or the inner status of individuals (e.g. memory, orientation capacity). Movement is also the focus of a different field of research, i.e. human mobility, which is studied in a set of disciplines, from GIScience, to computer science, physics, geography and transportation science [4]. In analogy with movement ecology, human mobility benefited from the recent development of sensors capable of capturing human movement in real time and at detailed spatial and temporal scales (e.g. GPS trackers).","PeriodicalId":219256,"journal":{"name":"SIGSPATIAL Special","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127653282","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
The 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 首届ACM SIGSPATIAL建模和理解COVID-19传播国际研讨会
SIGSPATIAL Special Pub Date : 2021-01-25 DOI: 10.1145/3447994.3448007
T. Anderson, Jia Yu, Andreas Züfle
{"title":"The 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19","authors":"T. Anderson, Jia Yu, Andreas Züfle","doi":"10.1145/3447994.3448007","DOIUrl":"https://doi.org/10.1145/3447994.3448007","url":null,"abstract":"In response to the COVID-19 pandemic, a number of spatially-explicit models have been developed to better explain the pathways of the disease, to predict the trajectory of the disease, and to test the effect of different health guidelines and policies on the number of cases and deaths. The 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 workshop (COVID'2020) featured research efforts that aim to understand the spatial processes and patterns of COVID-19 spread using a variety of spatial modeling, simulation, and mining approaches. The goal of this workshop was to bring together a range of interdisciplinary researchers in the SIGSPATIAL community in the fields of computer science, spatial modeling, social sciences, and epidemiology. Also, this workshop was advertised for anyone interested in infectious disease data and modelling, including but not limited to COVID-19.","PeriodicalId":219256,"journal":{"name":"SIGSPATIAL Special","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129955766","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: 5
The 3rd ACM SIGSPATIAL International Workshop on Geospatial Simulation 第三届ACM SIGSPATIAL国际地理空间模拟研讨会
SIGSPATIAL Special Pub Date : 2021-01-25 DOI: 10.1145/3447994.3448000
Joon-Seok Kim, T. Anderson, Ashwin Shashidharan, Andreas Züfle
{"title":"The 3rd ACM SIGSPATIAL International Workshop on Geospatial Simulation","authors":"Joon-Seok Kim, T. Anderson, Ashwin Shashidharan, Andreas Züfle","doi":"10.1145/3447994.3448000","DOIUrl":"https://doi.org/10.1145/3447994.3448000","url":null,"abstract":"Space has long been acknowledged by researchers as a fundamental constraint which shapes our world. As technological changes have transformed the very concept of distance, the relative location and connectivity of geospatial phenomena have remained stubbornly significant in how systems function. At the same time, however, technology has advanced the science of geospatial simulation to bear on our understanding of how such systems work. While previous generations of scientists and practitioners were unable to gather spatial data or to incorporate it into models at any meaningful scale, new methodologies and data sources are becoming increasingly available to researchers, developers, users, and practitioners. These developments present new research opportunities for geospatial simulation.","PeriodicalId":219256,"journal":{"name":"SIGSPATIAL Special","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122783882","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
GeoHumanities 2020 workshop report 2020年地球人文研讨会报告
SIGSPATIAL Special Pub Date : 2021-01-25 DOI: 10.1145/3447994.3448002
Ludovic Moncla, Patricia Murrieta-Flores, Carmen Brando
{"title":"GeoHumanities 2020 workshop report","authors":"Ludovic Moncla, Patricia Murrieta-Flores, Carmen Brando","doi":"10.1145/3447994.3448002","DOIUrl":"https://doi.org/10.1145/3447994.3448002","url":null,"abstract":"This article reports on the 4th ACM SIGSPATIAL Workshop on Geospatial Humanities, held in conjunction with the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. The article outlines the objectives of the workshop, and briefly describes the technical program.","PeriodicalId":219256,"journal":{"name":"SIGSPATIAL Special","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116976637","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: 0
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