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Journal articles on the topic 'Geolocation data analysis'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Smt., Jayanti K., Pare Ravi, S. P. Saurabh, and S. H. Shashank. "Exploratory Analysis Of Geo-Location Data." Journal Of Scientific Research And Technology (JSRT) 1, no. 2 (2023): 60–67. https://doi.org/10.5281/zenodo.8034007.

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Geography and regional human behavior may be more fully comprehended via the study of geo-locational data. A wealth of conveniences that make life easier in today's fast-paced, high-effort world. Many fields now rely heavily on geolocation and geographic information systems (GIS). Simply said, they may show geographical information and connect databases. This evaluates the effectiveness of an accommodation search in each given area as a way to demonstrate the value of geolocation. In this project, we apply K-Means Clustering to the geo-locational data we gathered from the Foursquare API (A

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Marathe, Rushabh, and Adarsh Jadhav. "Exploratory Analysis of Geolocational Data." International Journal of Research Publication and Reviews 04, no. 02 (2023): 728–31. http://dx.doi.org/10.55248/gengpi.2023.42005.

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This project uses the K-Means clustering method to find the best migrant shelters by ranking migrant shelters according to their amenities, budget and proximity preferences. Fetch, cleans, analyse and aggregates K-Means on geolocation data to recommend immigrant accommodation in the city.

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Li, Facheng, and Qiming Zeng. "High-Resolution Spaceborne SAR Geolocation Accuracy Analysis and Error Correction." Remote Sensing 16, no. 22 (2024): 4210. http://dx.doi.org/10.3390/rs16224210.

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High-accuracy geolocation is crucial for high-resolution spaceborne SAR images. Most advanced SAR satellites have a theoretical geolocation accuracy better than 1 m, but this may be unrealizable with less accurate external data, such as atmospheric parameters and ground elevations. To investigate the actual SAR geolocation accuracy in common applications, we analyze the properties of different geolocation errors, propose a geolocation procedure, and conduct experiments on TerraSAR-X images and a pair of Tianhui-2 images. The results show that based on GNSS elevations, the geolocation accuracy

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Sreelatha, Gavini, Veeresh Dachepalli, and Gudur Sahiti. "DATA ANALYSIS FOR STUDENTS BASED ON GEOLOCATION APPROACH." International Journal of Interpreting Enigma Engineers 01, no. 03 (2024): 33–41. http://dx.doi.org/10.62674/ijiee.2024.v1i03.005.

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It is quite important for students, particularly those who are new to strange places, to find appropriate housing. Some viable solutions to this difficulty can be found in advanced analytical approaches such as geolocational analysis and clustering algorithms. The optimal student housing options in any city can be found by thoroughly exploring geolocational data, as demonstrated in this study. In order to organise housing possibilities according to criteria such as budget, proximity to amenities, and availability, we employ the popular K-Means Clustering technique. Our objective is to provide

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Kinakh, V., T. Oda, R. Bun, and O. Novitska. "Mitigating geolocation errors in nighttime light satellite data and global CO2 emission gridded data." Mathematical Modeling and Computing 8, no. 2 (2021): 304–16. http://dx.doi.org/10.23939/mmc2021.02.304.

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Accurate geospatial modeling of greenhouse gas (GHG) emissions is an essential part of the future of global GHG monitoring systems. Our previous work found a systematic displacement in the high-resolution carbon dioxide (CO2) emission raster data of the Open-source Data Inventory for Anthropogenic CO2 (ODIAC) emission product. It turns out this displacement is due to geolocation bias in the Defense Meteorological Satellite Program (DMSP) nighttime lights (NTL) data products, which are used as a spatial emission proxy for estimating non-point source emissions distributions in ODIAC. Mitigating

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Jayusta, Evan, Marhalim Marhalim, Muhammad Immanullah, and Yuza Reswan. "Robustness Analysis of QR – Code Based and Geolocation Based Attendance System." JURNAL MEDIA INFOTAMA 20, no. 2 (2024): 517–24. https://doi.org/10.37676/jmi.v20i2.6510.

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The use of QR-code and GPS technology in the attendance system also has several advantages, such as making the attendance process easier for students, monitoring employee attendance accurately and efficiently, and improving the quality of student work. Therefore, it is important to compare the efficiency of the QR-code attendance method with Geolocation to find out which technology is more effective and efficient in improving the attendance system. In this research the author used the K-means Clustering method. The K-means method is a non-hierarchical data grouping method that attempts to part

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Carmody, Kathryn G., Arthur J. Mariano, and David William Kerstetter. "A Principal Component Analysis of Vertical Temperature Profiles for Tracking Movements of Large Pelagic Fishes." Aquatic Science and Technology 5, no. 1 (2017): 33. http://dx.doi.org/10.5296/ast.v5i1.10649.

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Pop-up satellite archival tag (PSAT) technology that records depth, temperature, and light-level data has expanded the understanding of free-swimming behavior for numerous pelagic animals. Astronomical algorithms using these light-level data have allowed geolocation estimates of daily longitude and latitude. However, many pelagic animals have a crepuscular behavior pattern in which individuals are at depths below the photic layer during the day, thus precluding the use of traditional light-based movement algorithms for geolocation in such species as swordfish. A principal component analysis (P

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Zhou, Muzhi, Zheng Wei, and Junxiang Liao. "How Can the Universal Disclosure of Provincial-level IP Geolocation Change the Landscape of Social Media Analysis." ACM SIGWEB Newsletter 2024, Autumn (2024): 1–9. https://doi.org/10.1145/3704991.3704994.

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Since April 2022, the Chinese government has mandated the disclosure of domestic users' provincial- level geolocation information on social media platforms in China. This has led to unprecedented, universal accessibility to geolocation information that is automatically tagged to various forms of online content, including short video posts, user comments, and any other forms of user-generated online content. In this paper, we present suggestions and examples that illustrate how this newly available information can potentially change the landscape of social media analysis. First, the universal g

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Takenaka, Hideaki, Taiyou Sakashita, Atsushi Higuchi, and Teruyuki Nakajima. "Geolocation Correction for Geostationary Satellite Observations by a Phase-Only Correlation Method Using a Visible Channel." Remote Sensing 12, no. 15 (2020): 2472. http://dx.doi.org/10.3390/rs12152472.

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This study describes a high-speed correction method for geolocation information of geostationary satellite data for accurate physical analysis. Geostationary satellite observations with high temporal resolution provide instantaneous analysis and prompt reports. We have previously reported the quasi real-time analysis of solar radiation at the surface and top of the atmosphere using geostationary satellite data. Estimating atmospheric parameters and surface albedo requires accurate geolocation information to estimate the solar radiation accurately. The physical analysis algorithm for Earth obse

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Chai, Yunmeng, Yuehan Wang, and Wenqi Xue. "Deep learning-based glioma grading and feature visualization analysis." Applied and Computational Engineering 31, no. 1 (2024): 296–302. http://dx.doi.org/10.54254/2755-2721/31/20230173.

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With the rapid development of geolocation information services, which involves large-scale location data querying, including map data and user location data. Traditional data storage and query methods face challenges of storage space and query efficiency, and the ability to process real-time geolocation data becomes critical in Geographic Information Services positioning systems that require servers to achieve millisecond-level response speeds. In addition to this, in geolocation services, for a given latitude and longitude information, it is necessary to quickly determine whether it exists or

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Isayeva, M. V., and D. A. Samatov. "USING GEOLOCATION TECHNOLOGIES WHEN CREATING A VIRTUAL MUSEUM OF COMPUTATION ENGINEERING." Technologies & Quality, no. 3 (2019): 44–51. http://dx.doi.org/10.34216/2587-6147-2019-3-45-44-51.

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This paper is devoted to the research and analysis of the applicability of geolocation technologies for the development of an application of a virtual museum of computer technology. It was necessary to select the optimal technology for use in the mobile application of the museum. During the research of the subject area, the requirements for the application were determined, on the basis of which the selection criteria for geolocation technology were formed. Next we made the review of existing geolocation technologies and identified the technology that most closely met the criteria. This article

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Gleason, Scott, Andrew O’Brien, Anthony Russel, Mohammad M. Al-Khaldi, and Joel T. Johnson. "Geolocation, Calibration and Surface Resolution of CYGNSS GNSS-R Land Observations." Remote Sensing 12, no. 8 (2020): 1317. http://dx.doi.org/10.3390/rs12081317.

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This paper presents the processing algorithms for geolocating and calibration of the Cyclone Global Navigation Satellite System (CYGNSS) level 1 land data products, as well as analysis of the spatial resolution of Global Navigation Satellite System Reflectometry (GNSS-R) coherent reflections. Accurate and robust geolocation and calibration of GNSS-R land observations are necessary first steps that enable subsequent geophysical parameter retrievals. The geolocation algorithm starts with an initial specular point location on the Earth’s surface, predicted by modeling the Earth as a smooth ellips

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Sefercik, Umut Gunes, Gurcan Buyuksalih, Karsten Jacobsen, and Mehmet Alkan. "Point-based and model-based geolocation analysis of airborne laser scanning data." Optical Engineering 56, no. 1 (2016): 013101. http://dx.doi.org/10.1117/1.oe.56.1.013101.

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Elteir, Marwa K. "Fine-Grained Arabic Post (Tweet) Geolocation Prediction Using Deep Learning Techniques." Information 16, no. 1 (2025): 65. https://doi.org/10.3390/info16010065.

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Leveraging Twitter data for crisis management necessitates the accurate, fine-grained geolocation of tweets, which unfortunately is often lacking, with only 1–3% of tweets being geolocated. This work addresses the understudied problem of fine-grained geolocation prediction for Arabic tweets, focusing on the Kingdom of Saudi Arabia. The goal is to accurately assign tweets to one of thirteen provinces. Existing approaches for Arabic geolocation are limited in accuracy and often rely on basic machine learning techniques. Additionally, advancements in tweet geolocation for other languages often re

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Delgado, Alexi. "Mobile application analysis and design with geolocation and data from hospitals near home." International Journal of Emerging Trends in Engineering Research 8, no. 8 (2020): 4555–59. http://dx.doi.org/10.30534/ijeter/2020/83882020.

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., Prarthana Kumari. "DESIGN, ANALYSIS AND IMPLEMENTATION OF GEOLOCATION BASED EMOTION DETECTION TECHNIQUE OVER TWITTER DATA." International Journal of Research in Engineering and Technology 05, no. 08 (2016): 204–6. http://dx.doi.org/10.15623/ijret.2016.0508037.

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Fernández-Arango, David, Francisco-Alberto Varela-García, and Jorge López-Fernández. "Dynamic Analysis of School Mobility Using Geolocation Web Technologies." ISPRS International Journal of Geo-Information 12, no. 1 (2022): 8. http://dx.doi.org/10.3390/ijgi12010008.

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Pedestrian travel represents one of the most complex forms of mobility owing to the numerous parameters that influence its analysis and the difficulty of acquiring accurate travel information. In addition, the vulnerability of its protagonists, especially in urban environments, in coexistence with other types of transport, makes its study interesting. This paper proposes a web tool for use in geolocated surveys that allows the acquisition of georeferenced thematic information of interest for mobility studies. The analysis of different school routes from students’ homes to their respective scho

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Alfiano Aldo Pamungkas and Kustiyono. "Customer Data Management For Citynet Using Geolocation-Based Internet Broadband Registration Form Application." INOVTEK Polbeng - Seri Informatika 10, no. 1 (2025): 492–503. https://doi.org/10.35314/60hw1d67.

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This study aims to address the inefficiencies in CityNet's customer data management by developing a geolocation-based registration form application. Currently, CityNet relies on Google Forms for data collection and WhatsApp for location sharing, leading to inaccuracies, inefficiencies, and delays in the installation process. The proposed system integrates geolocation to automatically capture customer locations, reducing input errors and streamlining data processing. This research follows the waterfall development model, encompassing needs analysis, system design, implementation, and usability

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Kellert, Olga, and Nicholas H. Matlis. "Geolocation of multiple sociolinguistic markers in Buenos Aires." PLOS ONE 17, no. 9 (2022): e0274114. http://dx.doi.org/10.1371/journal.pone.0274114.

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Analysis of language geography is increasingly being used for studying spatial patterns of social dynamics. This trend is fueled by social media platforms such as Twitter which provide access to large amounts of natural language data combined with geolocation and user metadata enabling reconstruction of detailed spatial patterns of language use. Most studies are performed on large spatial scales associated with countries and regions, where language dynamics are often dominated by the effects of geographic and administrative borders. Extending to smaller, urban scales, however, allows visualiza

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Talib, Aya Mazin, and Mahdi Nsaif Jasim. "Geolocation based air pollution mobile monitoring system." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 162. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp162-170.

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Air pollution is conducted to harmful substances like solid particles, gases or liquid droplets. More pollutants CO, SO2, NOx, CO2.This research is proposed the design and implementation of mobile, low cost and accurate air pollution monitoring system using Arduino microcontroller and gas sensor like MQ2, MQ131, MQ135, MQ136, DHT22, measuring materials mentioned above, smoke, Acetone, Alcohol, LPG, Toluene, temperature, humidity and GPS sensor”NEO-6M” that track the location of air pollution data, and display the analysis result on ESRI maps. The system also save the results on SQL server DB.

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Sulaiman, Agus, and Marza Ihsan Marzuki. "Development of Streaming Media Security using Geolocation." Journal of Integrated and Advanced Engineering (JIAE) 2, no. 1 (2022): 11–18. http://dx.doi.org/10.51662/jiae.v2i1.34.

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Video streaming is digital data that is shared over the internet network. Streaming video through security protection techniques creates a security that is expected to protect intellectual property rights because there is data transfer through the internet. The use of password-based and token-based authentication is a security technology widely used in exchanging data and information between the client and server. However, this method is currently not sufficient to represent a security system using a Geographic Information System. Geolocation is a system or designation of geographic location i

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Talib, Aya Mazin, and Mahdi Nsaif Jasim. "Geolocation based air pollution mobile monitoring system." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 162–70. https://doi.org/10.11591/ijeecs.v23.i1.pp162-170.

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Air pollution is conducted to harmful substances like solid particles, gases or liquid droplets. More pollutants CO, SO2, NOx, CO2.This research is proposed the design and implementation of mobile, low cost and accurate air pollution monitoring system using Arduino microcontroller and gas sensor like MQ2, MQ131, MQ135, MQ136, DHT22, measuring materials mentioned above, smoke, Acetone, Alcohol, LPG, Toluene, temperature, humidity and GPS sensor”NEO-6M” that track the location of air pollution data, and display the analysis result on ESRI maps. The system also save the results on SQL

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23

Elgamoudi, Abulasad, Hamza Benzerrouk, Ganapathy Arul Elango, and René Jr Landry. "Quasi-Real RFI Source Generation Using Orolia Skydel LEO Satellite Simulator for Accurate Geolocation and Tracking: Modeling and Experimental Analysis." Electronics 11, no. 5 (2022): 781. http://dx.doi.org/10.3390/electronics11050781.

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Accurate geolocation and tracking of Radio-Frequency Interference (RFI) sources, which affect wireless and satellite systems such as Global Navigation Satellite Systems (GNSS) and Satellite Communication (SatCom) systems, are considered to be a significant issue. Several studies connected to civil and military operations on this issue have been investigated recently. The literature review has surveyed many algorithm simulations for optimizing geolocation and target-tracking estimation. Although most of these algorithms have their own advantages, they have weaknesses, such as accuracy, mathemat

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Klochko, Oksana V., Vasyl M. Fedorets, Maksym V. Mazur, and Yurii P. Liulko. "An IoT system based on open APIs and geolocation for human health data analysis." CTE Workshop Proceedings 10 (March 21, 2023): 399–413. http://dx.doi.org/10.55056/cte.567.

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Development of applications based on open API is becoming increasingly popular today. Innovative projects using these technologies provide new opportunities for real-time human health monitoring. Such opportunities are also implemented using Internet of Things (IoT), artificial intelligence (AI) and cloud computing technologies. In the study, we developed an application based on open APIs using smart gadgets and meteorological geographic information system in the process of generating a message about the dangers to human health associated with: the presence of pollen in the air (grass pollen,

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Budzyński, Łukasz, and Eligiusz Pawłowski. "Analysis of positioning errors of the GPS navigation receivers." Journal of Computer Sciences Institute 17 (December 30, 2020): 332–38. http://dx.doi.org/10.35784/jcsi.2096.

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The article compares the accuracy of receivers related to the geolocation process in the GPS system. To determine the accuracy of the receivers, a series of research experiments were conducted based on test cases. For the needs of the research, a research platform for collecting data from the GPS system was designed and constructed. The research results are presented in the form of tables and graphic charts.

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ORSI, RENATO H., BALAMURUGAN JAGADEESAN, LEEN BAERT, and MARTIN WIEDMANN. "Identification of Closely Related Listeria monocytogenes Isolates with No Apparent Evidence for a Common Source or Location: A Retrospective Whole Genome Sequencing Analysis." Journal of Food Protection 84, no. 7 (2021): 1104–13. http://dx.doi.org/10.4315/jfp-20-417.

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ABSTRACT Public health and regulatory agencies worldwide sequence all Listeria monocytogenes isolates obtained as part of routine surveillance and outbreak investigations. Many of these entities submit the sequences to the National Center for Biotechnology Information Pathogen Detection (NCBI PD) database, which groups the L. monocytogenes isolates into single nucleotide polymorphism (SNP) clusters based on a pairwise SNP difference threshold of 50 SNPs. Our goal was to assess whether isolates with metadata that suggest different sources or locations could show evidence for close genetic relat

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Kiesel, Johannes, Martin Potthast, Matthias Hagen, and Benno Stein. "Spatio-Temporal Analysis of Reverted Wikipedia Edits." Proceedings of the International AAAI Conference on Web and Social Media 11, no. 1 (2017): 122–31. http://dx.doi.org/10.1609/icwsm.v11i1.14900.

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Little is known about what causes anti-social behavior online. The paper at hand analyzes vandalism and damage in Wikipedia with regard to the time it is conducted and the country it originates from. First, we identify vandalism and damaging edits via ex post facto evidence by mining Wikipedia’s revert graph. Second, we geolocate the cohort of edits from anonymous Wikipedia editors using their associated IP addresses and edit times, showing the feasibility of reliable historic geolocation with respect to country and time zone, even under limited geolocation data. Third, we conduct the first sp

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Haarkötter, Christian, María Saiz, Xiomara Gálvez, María Isabel Medina-Lozano, Juan Carlos Álvarez, and José Antonio Lorente. "Usefulness of Microbiome for Forensic Geolocation: A Review." Life 11, no. 12 (2021): 1322. http://dx.doi.org/10.3390/life11121322.

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Forensic microbiomics is a promising tool for crime investigation. Geolocation, which connects an individual to a certain place or location by microbiota, has been fairly well studied in the literature, and several applications have been found. The aim of this review is to highlight the main findings in this field, including the current sample storage, DNA extraction, sequencing and data analysis techniques that are being used, and its potential applications in human trafficking and ancient DNA studies. Second, the challenges and limitations of forensic microbiomics and geolocation are emphasi

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Zhang, Wenbo, and Chang Xu. "Exploring App-Based Taxi Movement Patterns from Large-Scale Geolocation Data." ISPRS International Journal of Geo-Information 10, no. 11 (2021): 751. http://dx.doi.org/10.3390/ijgi10110751.

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This study is designed to leverage ubiquitous mobile computing techniques on exploring app-based taxi movement patterns in large cities. To study patterns at different scales, we comprehensively explore both occupied and unoccupied vehicle movement characteristics through not only individual trips but also their aggregations. Moran’s I and its variations are applied to explore spatial autocorrelations among different rides. PageRank centrality is applied for a functional network representing traffic flows to discover places of interest. Gyration radius measures the scope of passenger mobility

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Lee, Jong Ki, and Christopher Jekeli. "A Dual-IMU/GPS based Geolocation System." Journal of Navigation 65, no. 1 (2011): 113–23. http://dx.doi.org/10.1017/s0373463311000567.

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To improve the geolocation performance of an Unexploded Ordnance (UXO) survey platform, a geodetic Global Positioning System (GPS) receiver was combined with two tactical-grade Inertial Measurement Units (IMUs) and mounted on two types of detection systems. Analysis of data collected for typical trajectories focused on the dual-IMU/GPS pre/post processing using optimal nonlinear estimation together with a Wave Correlation Filter (WCF) and end-matching. Each trajectory of the platforms was estimated by the Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF). The WCF was then appl

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Jurgens, David, Tyler Finethy, James McCorriston, Yi Xu, and Derek Ruths. "Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice." Proceedings of the International AAAI Conference on Web and Social Media 9, no. 1 (2021): 188–97. http://dx.doi.org/10.1609/icwsm.v9i1.14627.

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Geolocated social media data provides a powerful source of information about place and regional human behavior. Because little social media data is geolocation-annotated, inference techniques serve an essential role for increasing the volume of annotated data. One major class of inference approaches has relied on the social network of Twitter, where the locations of a user's friends serve as evidence for that user's location. While many such inference techniques have been recently proposed, we actually know little about their relative performance, with the amount of ground truth data varying b

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Kankolongo, Malula Hélène. "The new approach of a geolocation information system for offenders in the town of Kananga." British Journal of Multidisciplinary and Advanced Studies 4, no. 6 (2023): 1–22. http://dx.doi.org/10.37745/bjmas.2022.0356.

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This scientific theme addresses the establishment of a geolocation information system for perpetrators of offenses in the town of Kananga. This approach aims to use geolocation technologies to identify and locate people responsible for wrongdoing such as violations of the law in force in the town of Kananga. This system will therefore make it possible to collect precise data on offenders, which will facilitate their identification, prosecution and punishment. The objective is to improve the security and effectiveness of the measures taken to combat crime in the town of Kananga. This system cou

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Xiao, Haifeng, Alexander Stark, Hao Chen, and Jürgen Oberst. "Recomputation and Updating of MOLA Geolocation." Remote Sensing 14, no. 9 (2022): 2201. http://dx.doi.org/10.3390/rs14092201.

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The Mars Orbiter Laser Altimeter (MOLA) Precision Experiment Data Records (PEDR) serve as the geodetic reference of Mars. However, these MOLA footprints were geolocated using outdated auxiliary information that dates back to 2003. In this study, we recompute the MOLA PEDR footprint locations and investigate the impact of the updated spacecraft orbit model and Mars rotational model on MOLA’s geolocation. We observe quasi-exponential increases near the poles of up to 30 m in the recomputation residuals for the nadir profiles. Meanwhile, we demonstrate that limitations exist in the stored MOLA PE

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Alorda-Ladaria, Bartomeu, Maurici Ruiz-Pérez, and Vicente Ramos. "A Near Real-Time Monitoring System Using Public WI-FI Data to Evaluate COVID-19 Social Distance Measures." Electronics 11, no. 18 (2022): 2897. http://dx.doi.org/10.3390/electronics11182897.

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This study assessed the applicability of geolocation data provided by public Wi-Fi infrastructures as information sources that can contribute to urban planning and management. We focused particularly on modeling and monitoring real-time mobility and congestion using geolocation capabilities of Wi-Fi public networks in Smart cities. The proposed methodology combines a detailed geographic analysis of the space with high-frequency indicators generated from network data. This study emphasizes the importance of Wi-Fi infrastructures as noninvasive monitoring systems, and describes how network data

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Rizwan, Muhammad, Wanggen Wan, and Luc Gwiazdzinski. "Visualization, Spatiotemporal Patterns, and Directional Analysis of Urban Activities Using Geolocation Data Extracted from LBSN." ISPRS International Journal of Geo-Information 9, no. 2 (2020): 137. http://dx.doi.org/10.3390/ijgi9020137.

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Location-based social networks (LBSNs) have rapidly prevailed in China with the increase in smart devices use, which has provided a wide range of opportunities to analyze urban behavior in terms of the use of LBSNs. In a LBSN, users socialize by sharing their location (also referred to as “geolocation”) in the form of a tweet (also referred to as a “check-in”), which contains information in the form of, but is not limited to, text, audio, video, etc., which records the visited place, movement patterns, and activities performed (e.g., eating, living, working, or leisure). Understanding the user

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Malema, H. K., and W. Musakwa. "TWEETS AND FACEBOOK POSTS, THE NOVELTY TECHNIQUES IN THE CREATION OF ORIGIN-DESTINATION MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 555–62. http://dx.doi.org/10.5194/isprs-archives-xli-b2-555-2016.

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Social media and big data have emerged to be a useful source of information that can be used for planning purposes, particularly transportation planning and trip-distribution studies. Cities in developing countries such as South Africa often struggle with out-dated, unreliable and cumbersome techniques such as traffic counts and household surveys to conduct origin and destination studies. The emergence of ubiquitous crowd sourced data, big data, social media and geolocation based services has shown huge potential in providing useful information for origin and destination studies. Perhaps such

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Malema, H. K., and W. Musakwa. "TWEETS AND FACEBOOK POSTS, THE NOVELTY TECHNIQUES IN THE CREATION OF ORIGIN-DESTINATION MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 555–62. http://dx.doi.org/10.5194/isprsarchives-xli-b2-555-2016.

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Social media and big data have emerged to be a useful source of information that can be used for planning purposes, particularly transportation planning and trip-distribution studies. Cities in developing countries such as South Africa often struggle with out-dated, unreliable and cumbersome techniques such as traffic counts and household surveys to conduct origin and destination studies. The emergence of ubiquitous crowd sourced data, big data, social media and geolocation based services has shown huge potential in providing useful information for origin and destination studies. Perhaps such

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Siegle, Patrick, Monika Pobiruchin, and Richard Zowalla. "Analysis of web tracking and geolocation of German-language health websites." PLOS One 20, no. 5 (2025): e0323462. https://doi.org/10.1371/journal.pone.0323462.

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Nowadays, websites with health-related content are an essential source of information for consumers to find out about their diagnoses, therapies, but also about prevention aspects. The data protection of website visitors is of particular interest here, as the search for health information may allow conclusions to be drawn about their own illnesses or those of their relatives. With a main focus on privacy-relevant aspects, this study examines more than 231,000 German-language health websites from Germany, Austria, and Switzerland. Of all successfully visited websites 56.04% stored at least one

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Alexandridis, Georgios, Yorghos Voutos, Phivos Mylonas, and George Caridakis. "A Geolocation Analytics-Driven Ontology for Short-Term Leases: Inferring Current Sharing Economy Trends." Algorithms 13, no. 3 (2020): 59. http://dx.doi.org/10.3390/a13030059.

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Short-term property rentals are perhaps one of the most common traits of present day shared economy. Moreover, they are acknowledged as a major driving force behind changes in urban landscapes, ranging from established metropolises to developing townships, as well as a facilitator of geographical mobility. A geolocation ontology is a high level inference tool, typically represented as a labeled graph, for discovering latent patterns from a plethora of unstructured and multimodal data. In this work, a two-step methodological framework is proposed, where the results of various geolocation analys

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Novo-Fernández, Alís, Carlos A. López-Sánchez, Asunción Cámara-Obregón, Marcos Barrio-Anta, and Iyán Teijido-Murias. "Estimating Forest Variables for Major Commercial Timber Plantations in Northern Spain Using Sentinel-2 and Ancillary Data." Forests 15, no. 1 (2024): 99. http://dx.doi.org/10.3390/f15010099.

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In this study, we used Spanish National Forest Inventory (SNFI) data, Sentinel-2 imagery and ancillary data to develop models that estimate forest variables for major commercial timber plantations in northern Spain. We carried out the analysis in two stages. In the first stage, we considered plots with and without sub-meter geolocation, three pre-processing levels for the Sentinel-2 images and two machine learning algorithms. In most cases, geometrically, radiometrically, atmospherically and topographically (L2A-ATC) corrected images and the random forest algorithm provided the best results, w

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Bai, Lu, and Daniel Gillen. "Survival analysis via cox proportional hazards additive models." Encyclopedia with Semantic Computing and Robotic Intelligence 01, no. 01 (2017): 1650003. http://dx.doi.org/10.1142/s2425038416500036.

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The Cox proportional hazards model is commonly used to examine the covariate-adjusted association between a predictor of interest and the risk of mortality for censored survival data. However, it assumes a parametric relationship between covariates and mortality risk though a linear predictor. Generalized additive models (GAMs) provide a flexible extension of the usual linear model and are capable of capturing nonlinear effects of predictors while retaining additivity between the predictor effects. In this paper, we provide a review of GAMs and incorporate bivariate additive modeling into the

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Bustamante, Alexander, Laura Sebastia, and Eva Onaindia. "BITOUR: A Business Intelligence Platform for Tourism Analysis." ISPRS International Journal of Geo-Information 9, no. 11 (2020): 671. http://dx.doi.org/10.3390/ijgi9110671.

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Integrating collaborative data in data-driven Business Intelligence (BI) system brings an opportunity to foster the decision-making process towards improving tourism competitiveness. This article presents BITOUR, a BI platform that integrates four collaborative data sources (Twitter, Openstreetmap, Tripadvisor and Airbnb). BITOUR follows a classical BI architecture and provides functionalities for data transformation, data processing, data analysis and data visualization. At the core of the data processing, BITOUR offers mechanisms to identify tourists in Twitter, assign tweets to attractions

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Fitzgerald, Andrew. "Death by Data." Media Theory 9, no. 1 (2025): 169–200. https://doi.org/10.70064/mt.v9i1.1169.

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Computational state violence has developed through the broader political economy of datafication, where increasing dimensions of life are “made productive” via the intensification of enclosure, data capture, and analysis for recursive operationalization. Through a Marxist conceptualization of abstraction, this article analyzes the U.S.’s use of metadata and geolocation algorithms for targeted killings, and the broader “platformization of the military” including Israel’s AI-powered bombing campaigns. It examines two interrelated aspects of the rhetoric legitimating this lethal labor, which comp

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Kholishoh, Istithoatun, Mardainis Mardainis, Susandri Susandri, and Khusaeri Andesa. "Geolocation Apps using A* Algorithm for Android Based Traders." IT Journal Research and Development 6, no. 1 (2021): 17–29. http://dx.doi.org/10.25299/itjrd.2021.vol6(1).5398.

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The development of technology has a positive effect on the trade sector, creating smartphones that can be utilized in all activities combined with the internet network. Activity that is currently growing is a mobile trader in the city of Pekanbaru. This development caused much competition, for example, in the Pekanbaru city area, especially in Sialangmunggu village. Traders around is difficult to find consumers because consumers do not have precise location and time information. Therefore, researchers aim to design and build applications by utilizing the functions of google maps and GPS (Globa

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Elias Gomes de Oliveira, Marco, and Francis Albert Cotta Formiga. "DESENVOLVIMENTO DE UM APLICATIVO MÓVEL INTEGRADO AO COPOM PARA ACOMPANHAMENTO DE OCORRÊNCIAS EM TEMPO REAL PELOS POLICIAIS MILITARES." Revista Científica da Polícia Militar de Mato Grosso do Sul - RevPMMS 2, no. 1 (2025): 309–25. https://doi.org/10.62927/revpmms.v2i1.91.

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Explore the process of creating a mobile application by the Military Police of Minas Gerais(PMMG), integrated with the Military Police Operations Center (COPOM), with the purpose of notifying police officers and security teams about ongoing incidents by centers according to severity. The application proposal aims to increase efficiency in responding to emergencies, integrated with geolocation, real-time communication and data processing technologies. Based on a theoretical and practical analysis, the main technological and operational challenges involved are investigated, highlighting the bene

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Ganji, Shubham. "Mobile Forensics in Financial Fraud Analysis." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30381.

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Mobile forensics, a critical component of digital forensics, is essential for investigating and analyzing digital evidence pertinent to financial fraud security. This guide delineates key steps and methodologies, with a focus on device identification, secure data extraction, password decryption, cloud and deleted data analysis, timeline reconstruction, network and geolocation analysis, app and social media investigations, and comprehensive reporting. The operational process involves acquiring mobile devices, analyzing file systems for financial data, extracting and decoding relevant informatio

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Chowdari Marella, Bhagath Chandra. "Streamlining Big Data Processing with Serverless Architectures for Efficient Analysis." FMDB Transactions on Sustainable Intelligent Networks 1, no. 4 (2024): 242–51. https://doi.org/10.69888/ftsin.2024.000291.

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Big data transformed industries to keep data insights at arm’s reach but was stalled by the inefficiency of proper processing. This paper considers the viability of serverless frameworks to enhance big data processing. We explain how serverless environments process large-scale data pipelines at improved performance with reduced latency. Serverless systems provision resources on demand based on function-as-a-service (FaaS) and event-driven programming models. This work provides an elaborate methodology, dataset description, architecture figure, and empirical results through graphical and tabula

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Ching, Gladys Mavilyn, and Mia Villarica. "Bawal Bastos App: Using Mobile and Web Technology for Handling Reports of Gender-Based Sexual Harassment in Public Spaces." International Journal of Computing Sciences Research 9 (January 1, 2025): 3471–90. https://doi.org/10.25147/ijcsr.2017.001.1.229.

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Purpose–This study aims to develop a two-way information technology system consisting of a mobile application (BLB App) and a web application (BLB Admin Portal) for filing and handling case reports on gender-based sexual harassment (GBSH) in public spaces of Los Baños, Laguna, Philippines. Establishment review and emergency features such as location-based messagingand press-to-call barangay hotline directory were also implemented. Method–The study employed descriptive and developmental research methodologies, incorporating the Safe Spaces Act of the Philippines during the conceptualization pha

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Hull, Cindy L. "The foraging zones of breeding royal (Eudyptes schlegeli) and rockhopper (E. chrysocome) penguins: an assessment of techniques and species comparison." Wildlife Research 26, no. 6 (1999): 789. http://dx.doi.org/10.1071/wr98028.

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This study used VHF telemetry, time–depth recorders (TDRs) collecting geolocation and sea-surface temperature data, and foraging-trip durations to describe and compare the foraging zones of royal and rockhopper penguins at Macquarie Island. VHF telemetry was unsuccessful, but TDRs were deployed 61 times across the four stages of the breeding season (males during incubation, females during incubation, guard stage and creche stage) during the 1994/95 and 1995/96 austral summers, with 37 providing data for analysis. The errors inherent in geolocation made it impossible to determine precise foragi

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ŞAHİN, Cihan. "Geo-localized Network Data Analysis Using VIKOR: Application of Network Health Monitoring in Turkey." AJIT-e: Academic Journal of Information Technology 15, no. 1 (2024): 1–13. http://dx.doi.org/10.5824/ajite.2024.01.001.x.

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Middle-high level managers of operators of telecommunications have to follow many key parameters to increase the profitability along with strategy of company. Therefore, easily readable data are being provided to managers by experts. With large screens in rooms, these data are monitored momentarily and ensured to take necessary actions without creating customer dissatisfaction. Especially for operators, it is one of the key parameters to manage the network in a quality and healthy way without creating complaints. It is important to monitor network health with appointed criteria and methods. In

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