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Journal articles on the topic 'Dynamic spatio-temporal queries'

Author: Grafiati

Published: 10 March 2023

Last updated: 19 July 2025

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1

Feng, Bin, Qing Zhu, Mingwei Liu, et al. "An Efficient Graph-Based Spatio-Temporal Indexing Method for Task-Oriented Multi-Modal Scene Data Organization." ISPRS International Journal of Geo-Information 7, no. 9 (2018): 371. http://dx.doi.org/10.3390/ijgi7090371.

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Task-oriented scene data in big data and cloud environments of a smart city that must be time-critically processed are dynamic and associated with increasing complexities and heterogeneities. Existing hybrid tree-based external indexing methods are input/output (I/O)-intensive, query schema-fixed, and difficult when representing the complex relationships of real-time multi-modal scene data; specifically, queries are limited to a certain spatio-temporal range or a small number of selected attributes. This paper proposes a new spatio-temporal indexing method for task-oriented multi-modal scene d

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2

Lee, Seokjun, and Incheol Kim. "A Robotic Context Query-Processing Framework Based on Spatio-Temporal Context Ontology." Sensors 18, no. 10 (2018): 3336. http://dx.doi.org/10.3390/s18103336.

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Service robots operating in indoor environments should recognize dynamic changes from sensors, such as RGB-depth (RGB-D) cameras, and recall the past context. Therefore, we propose a context query-processing framework, comprising spatio-temporal robotic context query language (ST-RCQL) and a spatio-temporal robotic context query-processing system (ST-RCQP), for service robots. We designed them based on spatio-temporal context ontology. ST-RCQL can query not only the current context knowledge, but also the past. In addition, ST-RCQL includes a variety of time operators and time constants; thus,

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3

Xie, Jiong, Zhen Chen, Jianwei Liu, et al. "Ganos." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3483–95. http://dx.doi.org/10.14778/3554821.3554838.

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Recently, the trend of developing digital twins for smart cities has driven a need for managing large-scale multidimensional, dynamic, and scene-oriented spatial data. Due to larger data scale and more complex data structure, queries over such data are more complicated and expensive than those on traditional spatial data, which poses challenges to the system efficiency and deployment costs. The existing spatial databases have limited support in both data types and operations. Therefore, a new-generation spatial database with excellent performance and effective deployment costs is needed. This

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Abburu, Sunitha. "GIS Based Interoperable Platform for Disaster Data Exchange Using OGC Standards and Spatial Query." International Journal of Web Portals 9, no. 1 (2017): 29–51. http://dx.doi.org/10.4018/ijwp.2017010103.

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Accurate, speedy and interoperable information exchange among the stakeholders achieve effective rescue and relief operations in an emergency. The current research work aims at location-based real time or near real time disaster data gathering and accumulation. The dynamic disaster data is integrated with the static geospatial data to facilitate spatial analytics and disseminate the integrated data through OGC web services to various stakeholders for further processing by different expert domain applications. The research work also facilitates spatio-temporal querying system through Geo-query,

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5

Sibolla, Bolelang H., Serena Coetzee, and Terence L. Van Zyl. "A Framework for Visual Analytics of Spatio-Temporal Sensor Observations from Data Streams." ISPRS International Journal of Geo-Information 7, no. 12 (2018): 475. http://dx.doi.org/10.3390/ijgi7120475.

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Sensor networks generate substantial amounts of frequently updated, highly dynamic data that are transmitted as packets in a data stream. The high frequency and continuous unbound nature of data streams leads to challenges when deriving knowledge from the underlying observations. This paper presents (1) a state of the art review into visual analytics of geospatial, spatio-temporal streaming data, and (2) proposes a framework based on the identified gaps from the review. The framework consists of (1) the data model that characterizes the sensor observation data, (2) the user model, which addres

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Eiter, Thomas, Ryutaro Ichise, Josiane Xavier Parreira, Patrik Schneider, and Lihua Zhao. "Deploying spatial-stream query answering in C-ITS scenarios1." Semantic Web 12, no. 1 (2020): 41–77. http://dx.doi.org/10.3233/sw-200408.

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Cooperative Intelligent Transport Systems (C-ITS) play an important role for providing the means to collect and exchange spatio-temporal data via V2X-based communication between vehicles and the infrastructure, which will become a central enabler for road safety of (semi)-autonomous vehicles. The Local Dynamic Map (LDM) is a key concept for integrating static and streamed data in a spatial context. The LDM has been semantically enhanced to allow for an elaborate domain model that is captured by a mobility ontology, and for queries over data streams that cater for semantic concepts and spatial

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Radoi, Anamaria, and Corneliu Burileanu. "Retrieval of Similar Evolution Patterns from Satellite Image Time Series." Applied Sciences 8, no. 12 (2018): 2435. http://dx.doi.org/10.3390/app8122435.

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Technological evolution in the remote sensing domain has allowed the acquisition of large archives of satellite image time series (SITS) for Earth Observation. In this context, the need to interpret Earth Observation image time series is continuously increasing and the extraction of information from these archives has become difficult without adequate tools. In this paper, we propose a fast and effective two-step technique for the retrieval of spatio-temporal patterns that are similar to a given query. The method is based on a query-by-example procedure whose inputs are evolution patterns prov

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Ray, Suprio, and Bradford Nickerson. "Temporally relevant parallel top-k spatial keyword search." Journal of Spatial Information Science, no. 24 (June 20, 2022): 115–56. http://dx.doi.org/10.5311/josis.2022.24.199.

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New spatio-textual indexing methods are needed to support efficient search and update of the massive amounts of spatially referenced text being generated. Location based services using geo-tagged documents provide valuable ranked recommendations about nearby restaurants, services, sales, emergency events, and visitor attractions. Consequently, top-k spatial keyword search queries (TkSKQ) have received a lot of attention from the research community. Several spatio-textual indexes have been proposed to efficiently support TkSKQ. Some of these indexes support updates based on live document stream

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9

Beard, Kate, Melissa Kimble, Jing Yuan, et al. "A Method for Heterogeneous Spatio-Temporal Data Integration in Support of Marine Aquaculture Site Selection." Journal of Marine Science and Engineering 8, no. 2 (2020): 96. http://dx.doi.org/10.3390/jmse8020096.

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Aquaculture site selection, like most site suitability analyses, requires the assembly and combination of multiple variables. Geographic information systems GIS and multi-criteria evaluation (MCE) based approaches are commonly used for aquaculture site selection and demonstrate the integration of various information sources relevant for siting aquaculture. These analyses, however, tend to be one-time and result in a fixed site suitability plan. Within a dynamic marine environment experiencing potential regime shifts, a siting support tool that integrates new and evolving spatio-temporal data h

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10

Kumar, Yogesh, Saswat Mallick, Anand Mishra, Sowmya Rasipuram, Anutosh Maitra, and Roshni Ramnani. "QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (2024): 2831–39. http://dx.doi.org/10.1609/aaai.v38i3.28063.

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In this work, we study one-shot video object localization problem that aims to localize instances of unseen objects in the target video using a single query image of the object. Toward addressing this challenging problem, we extend a popular and successful object detection method, namely DETR (Detection Transformer), and introduce a novel approach –query-guided detection transformer for videos (QDETRv). A distinctive feature of QDETRv is its capacity to exploit information from the query image and spatio-temporal context of the target video, which significantly aids in precisely pinpointing th

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11

McFerren, G., and T. van Zyl. "GEOSPATIAL DATA STREAM PROCESSING IN PYTHON USING FOSS4G COMPONENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 22, 2016): 931–37. http://dx.doi.org/10.5194/isprs-archives-xli-b7-931-2016.

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One viewpoint of current and future IT systems holds that there is an increase in the scale and velocity at which data are acquired and analysed from heterogeneous, dynamic sources. In the earth observation and geoinformatics domains, this process is driven by the increase in number and types of devices that report location and the proliferation of assorted sensors, from satellite constellations to oceanic buoy arrays. Much of these data will be encountered as self-contained messages on data streams - continuous, infinite flows of data. Spatial analytics over data streams concerns the search f

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12

Kouba, Yacine, and Concepción L. Alados. "Spatio-temporal dynamics of Quercus faginea forests in the Spanish Central Pre-Pyrenees." European Journal of Forest Research 131, no. 2 (2011): 369–79. http://dx.doi.org/10.1007/s10342-011-0509-1.

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13

Guillemot, J., N. K. Martin-StPaul, E. Dufrêne, et al. "The dynamic of annual carbon allocation to wood in European forests is consistent with a combined source-sink limitation of growth: implications for modelling." Biogeosciences Discussions 12, no. 3 (2015): 2213–55. http://dx.doi.org/10.5194/bgd-12-2213-2015.

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Abstract. The extent to which forest growth is limited by carbon (C) supply (source control) or by cambial activity (sink control) will condition the response of trees to global changes. However, the physiological processes responsible for the limitation of forest growth are still under debate. The aim of this study is to evaluate the key drivers of the annual carbon allocation to wood along large soil and climate regional gradients in five tree species representative of the main European forest biomes (Fagus sylvatica, Quercus petraea, Quercus ilex, Quercus robur and Picea abies). Combining f

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14

Quamar, Md Firoze. "Late Holocene vegetation dynamics and monsoonal climatic changes in Jammu, India." Acta Palaeobotanica 62, no. 1 (2022): 36–49. http://dx.doi.org/10.35535/acpa-2022-0004.

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Knowledge of the Holocene Indian Summer Monsoon (ISM) variability is important for understanding the spatio-temporal dynamics of the ISM precipitation. In this study, a Late Holocene pollen proxy record of the changes in the ISM intensity from a 1.8 m deep lacustrine sedimentary deposit in Jammu District (Jammu and Kashmir State) in India is presented. The results show that between ~3205 and 2485 cal yr BP, mixed broad-leaved/conifer forests occurred in the region under a warm and humid climate, probably indicating high monsoon precipitation. Subsequently, the conifers, such as Pinus sp., Cedr

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15

Guillemot, J., N. K. Martin-StPaul, E. Dufrêne, et al. "The dynamic of the annual carbon allocation to wood in European tree species is consistent with a combined source–sink limitation of growth: implications for modelling." Biogeosciences 12, no. 9 (2015): 2773–90. http://dx.doi.org/10.5194/bg-12-2773-2015.

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Abstract. The extent to which wood growth is limited by carbon (C) supply (i.e. source control) or by cambial activity (i.e. sink control) will strongly determine the responses of trees to global changes. Nevertheless, the physiological processes that are responsible for limiting forest growth are still a matter of debate. The aim of this study was to evaluate the key determinants of the annual C allocation to wood along large soil and climate regional gradients over France. The study was conducted for five tree species representative of the main European forest biomes (Fagus sylvatica, Quercu

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16

Gartner, Georg, Menno-Jan Kraak, Dirk Burghardt, et al. "Envisioning the future of academic cartographic education." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-89-2019.

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<p><strong>Abstract.</strong> Why do we teach cartography? The need for cartographic education:</p><p>In our day to day life, on an individual or societal level there is a continual need or even demand for geospatial information. On an individual level this need is expressed by questions like: Where am I?, How far away is my new doctor’s office?, Which route should I take to get to my destination based on current traffic patterns? Other questions may include: What is the spatial extent of my land parcel? What do I have permission to build on my parcel? On a societ

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17

Galgamuwa, G. A. Pabodha, Jida Wang, and Charles J. Barden. "Expansion of Eastern Redcedar (Juniperus virginiana L.) into the Deciduous Woodlands within the Forest–Prairie Ecotone of Kansas." Forests 11, no. 2 (2020): 154. http://dx.doi.org/10.3390/f11020154.

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North America’s midcontinent forest–prairie ecotone is currently exhibiting extensive eastern redcedar (ERC) (Juniperus virginiana L.) encroachment. Rapid expansion of ERC has major impacts on the species composition and forest structure within this region and suppresses previously dominant oak (Quercus) species. In Kansas, the growing-stock volume of ERC increased by 15,000% during 1965–2010. The overarching goal of this study was to evaluate the spatio-temporal dynamics of ERC in the forest–prairie ecotone of Kansas and understand its effects on deciduous forests. This was achieved through t

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18

Almaslukh, Abdulaziz, Yongyi Liu, and Amr Magdy. "Scalable Spatio-Temporal Top-k Interaction Queries on Dynamic Communities." ACM Transactions on Spatial Algorithms and Systems, February 16, 2024. http://dx.doi.org/10.1145/3648374.

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Social media platforms generate massive amounts of data that reveal valuable insights about users and communities at large. Existing techniques have not fully exploited such data to help practitioners perform a deep analysis of large online communities. Lack of scalability hinders analyzing communities of large sizes and requires tremendous system resources and unacceptable runtime. This paper proposes a new analytical query that identifies the top- k posts that a given user community has interacted with during a specific time interval and within a spatial range. We propose a novel indexing fr

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19

Song, Xiaoxiao, Yan Li, Xia Xiao, et al. "Visualization the dynamic interactive maps for results of spatio-temporal scanning." Online Journal of Public Health Informatics 10, no. 1 (2018). http://dx.doi.org/10.5210/ojphi.v10i1.8916.

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Objective: The purpose of this article was to provide static and interact mapping for the results' SaTscan with R package thereby reduce the gap between decision-makers and researchers.Introduction: Scan statistics is one of the most widely used method for detecting and locating the clusters of disease or health-related events through the space-time dimension. Although the Specific software of SatScan is available for free and easier to use graphical user interface (GUI) interface, the click way and the resulting text format have became obstacles in biosurveillance since automated or reproduct

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20

"Content Based Movie Scene Retrieval using Spatio-Temporal Features." International Journal of Engineering and Advanced Technology 9, no. 2 (2019): 1492–96. http://dx.doi.org/10.35940/ijeat.b3495.129219.

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Thousands of movies along with TV shows, documentaries are being produced each year around the world with different genres and languages. Making a movie scene impactful as well as original is challenging task for the director. On the other hand, users demands to retrieve similar scenes from their queries is also challenging task as there is no proper maintenance of database of movie scene videos with proper semantic tags associated with it. So to fulfill the requirement of these two (but not the least) application areas there is a need of content based retrieval system for movie scenes. Conten

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21

González, Isabel, Nerea Oliveira, Iciar Alberdi, et al. "Spatio-temporal patterns of defoliation in agro-forestry Quercus ilex L. systems." Agroforestry Systems 99, no. 5 (2025). https://doi.org/10.1007/s10457-025-01203-x.

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Abstract Agroforestry systems such as holm oak (Quercus ilex subsp. ballota) dehesas face increased vulnerability due to the abandonment of sustainable practices, extreme droughts, and emerging pathogens. Despite the adaptability of Q. ilex to adverse conditions, signs of deterioration such as defoliation, reduced growth, and increased mortality have been observed in recent years. However, few national-wide studies have quantified the spatial and temporal components of defoliation in Q. ilex dehesas. This study aims to evaluate the spatio-temporal dynamics of defoliation in Q. ilex dehesa syst

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22

Singh, Yumnam Johnson, L. S. Lodhiyal, K. S. Kanwal, and D. Balasubramanian. "Spatio-temporal dynamics of soil physico-chemical properties in Quercus dominated forests of Arunachal Pradesh, Eastern Himalayas." Journal of Ecology and Environment 49 (May 30, 2025). https://doi.org/10.5141/jee.24.110.

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