To contain the COVID-19 epidemic, one of the non-pharmacological epidemic control measures is reducing the transmission rate of SARS-COV-2 in the population through social distancing. An interactive web-based mapping platform that provides timely quantitative information on how people in different counties and states reacted to the social distancing guidelines was developed by the GeoDS Lab…
SIGSPATIAL Special Template
Write in a clean editor, then format for SIGSPATIAL Special in one click — DocuGuru applies the official ACM template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the SIGSPATIAL Special format
SIGSPATIAL Special is a peer-reviewed journal published by ACM, covering Geographic Information Systems Studies, Data Management and Algorithms, Human Mobility and Location-Based Analysis.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. SIGSPATIAL Special 12, 3, Article 45 (2023).
Formats any DOI in SIGSPATIAL Special style. No sign-up. |
| Publishes research in | Geographic Information Systems Studies Data Management and Algorithms Human Mobility and Location-Based Analysis Data-Driven Disease Surveillance Traffic Prediction and Management Techniques |
| ISSN | 1946-7729 |
| h-index | 25 |
| i10-index | 64 |
| Total citations | 2,722 |
| Top institutions publishing here | George Mason University |
| Journal website | www.sigspatial.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in SIGSPATIAL Special per year
Citation impact of SIGSPATIAL Special by publication year
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Most-cited papers in SIGSPATIAL Special
Storing, querying, and analyzing trajectories is becoming increasingly important, as the availability and volumes of trajectory data increases. One important class of trajectory analysis is computing trajectory similarity. This paper introduces and compares four of the most common measures of trajectory similarity: longest common subsequence (LCSS), Fréchet distance, dynamic time warping (DTW), and edit distance.…
Recognizing spatial language in text documents, termed geoparsing , is useful for many applications, because together with mapping such language to lat/long values, also known as geocoding , it enables the connection of the unstructured textual realm with the structured realm of Geographic Information Systems (GIS) [11]. For example, news stories about events happening in…
To contain the Coronavirus disease (COVID-19) pandemic, one of the non-pharmacological epidemic control measures in response to the COVID-19 outbreak is reducing the transmission rate of SARS-COV-2 in the population through (physical) social distancing. An interactive web-based mapping platform that provides timely quantitative information on how people in different counties and states reacted to the…
Short-term traffic forecasting is a vital part of intelligent transportation systems. Recently, the combination of unprecedented data availability and the repaid development of machine learning techniques have brought on immense advancement in this field. In this paper, we aim to provide a brief overview of machine learning approaches for short-term traffic forecasting to facilitate research…