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Relevant bibliographies by topics / Geography – Data processing

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Academic literature on the topic 'Geography – Data processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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Journal articles on the topic "Geography – Data processing"

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Ikhsan, Fahrudi Ahwan, Fahmi Arif Kurnianto, Bejo Apriyanto, and Elan Artono Nurdin. "GEOGRAPHY SKILLS DOMAIN TAXONOMY." Geosfera Indonesia 2, no. 1 (April 30, 2018): 54. http://dx.doi.org/10.19184/geosi.v2i1.7525.

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This study aims to explain the geography student skills domain. The focus of this research is the domain of geography skills possessed by students. The research method with the a qualitative approach. Subjects were students of Jember University geography education consisting of 2 men and 2 women with indicators of academic ability value of the national geography exam results. Data collection techniques by observation and interview. Data were analyzed using the processing unit, categorization and interpretation of data. The findings show that the skills of geography for prospective teachers of geography and geographers to be possessed composed as follows: 1st level thinking skills geography (space, phenomena, location and place, region, environment, coordinate, and humans), level 2 skills of analysis geography (scale, distribution, patterns of interaction, interrelation, connectivity, corologi, descriptions, and agglomeration), and level 3 skills of geographic applications (mapping/cartography, remote sensing, geographic information systems, surveying and mapping of the area, and Global Position systems (GPS). This level difference is used to distinguish the use of knowledge and application of the science of geography. Keywords: Students of geography education, geography Skills

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Zolnikova, Julia, Eugeni Ovsyannikov, and Ivan Soloviev. "Geoinformation support of the academic discipline “Geography of the population with the basics of demography”." InterCarto. InterGIS 26, no. 1 (2020): 279–88. http://dx.doi.org/10.35595/2414-9179-2020-1-26-279-288.

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The authors pointed out that the rapid growth of technical supply and the emergence of new information and communication technologies has led to the common usage of new technologies towards the various functions and needs of higher education. A university graduate should have the skills to develop and use information systems for decision support as a basic framework for analyzing unfolding situations, developing informed decisions and as a result — problem-solving. The connecting link for professional skills development appears as a GIS technology usage. GIS provide unique opportunities for its implementation in educational programs putting in touch with forecasting and analysis of the phenomena of the world around us; there are comprehension and allocation of the main causes and factors, possible consequences, with subsequent planning and adoption of strategic decisions of the actions taken. Geoinformation technologies can change the content of activities for both teachers and students. GIS technologies allow to master the methods of data gathering and processing; development of models and forecasts for specific geographical problem-solving. Students, using GIS, unaidedly obtain data, absorb new methods of data processing, receive best practices for working in various fields. The article gives a description and analyzes of the GIS usage for studying the course “Population geography with the demography basics”. The GIS usage for studying the course “Population geography with the demography basics” allows to significantly diversify the methods and forms of laboratory studies, student’s research work. In the course of work with GIS, a geographer comprehends the features of spatial data presented in digital form, analyzes geographic data, presents geographic data in the form of maps, tables, graphs.

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Bezvoda, Václav, and Tomáš Kučera. "On the possibilities of using data-analytic systems in geography." Geografie 91, no. 2 (1986): 133–39. http://dx.doi.org/10.37040/geografie1986091020133.

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The transition from traditional to modern concepts in geography requires multidimensional data sets to be taken into account. Apart from other methods of corresponding data processing an important role is played by the factor analysis, possibilities and limitations of which are analysed in the article. Attention is also paid to the data-analytical systems (especially BMDP) which make the multivariant methods easy to use.

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Yongjun, Zhang. "Combined GPS/GLONASS data processing." Geo-spatial Information Science 5, no. 4 (January 2002): 32–36. http://dx.doi.org/10.1007/bf02826472.

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SOH, CHEE-KIONG, WOON-PENG WONG, KOK-WAI PHANG, and KUM-YEW LAI. "INTEGRATING KNOWLEDGE AND DATA PROCESSING FOR CONSTRUCTION SCHEDULING." Civil Engineering Systems 12, no. 4 (November 1995): 287–305. http://dx.doi.org/10.1080/02630259508970178.

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Skoks, Viktors, and Christian Steurer. "An Overview of the Use of GML in Modern Spatial Data Infrastructures." Scientific Journal of Riga Technical University. Computer Sciences 42, no. 1 (January 1, 2010): 60–67. http://dx.doi.org/10.2478/v10143-010-0043-5.

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An Overview of the Use of GML in Modern Spatial Data InfrastructuresThis paper introduces an overview of the use of Geography Markup Language in modern Spatial Data Infrastructures. The goal of the paper was to indicate some of the main consequences of the use of Geography Markup Language in the important geospatial data harmonisation processes, both search and access, which are in current use. In order to show a practical example of the use of Geography Markup Language, the system for Earth observation data processing and distribution at the Institute for Applied Remote Sensing at EURAC, Bolzano was studied. The results of the paper set out how Geography Markup Language is used in modern Spatial Data Infrastructures, and the degree to which the Geography Markup Language standard is helpful in achieving data harmonisation and interoperability.

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Bakli, Mohamed, Mahmoud Sakr, and Taysir Hassan A. Soliman. "HadoopTrajectory: a Hadoop spatiotemporal data processing extension." Journal of Geographical Systems 21, no. 2 (February 1, 2019): 211–35. http://dx.doi.org/10.1007/s10109-019-00292-4.

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Shi, Dinghao. "Principle and Application of Complex Function in Geography, Optics, Communication Engineering." Highlights in Science, Engineering and Technology 88 (March 29, 2024): 86–91. http://dx.doi.org/10.54097/10g7qe09.

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As a matter of fact, complex function has been widely used in various fields. This study explores the applications of complex functions in the fields of geography, optics, and communication engineering. By analyzing practical problems in different domains, scholars have discovered the unique value and prospects of complex functions in these areas. By integrating complex function theory with geographic data analysis, one has achieved efficient processing and analysis of geographic data and especially in calculating the minimum height. In the field of optics, one has utilized complex function methods to study the imaging and transmission characteristics of optical systems and image fusion and have achieved satisfactory results. Additionally, this study has introduced complex functions into the field of communication engineering, studying transforming the signal in the time domain into the frequency domain. The findings of this research enrich the theoretical content of scientific fields such as geography, optics, and communication engineering, providing strong support and references for related work.

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Hongian, You, Liu Schaochuang, and Li Shukai. "Data processing technology of airborne 3D image." Geo-spatial Information Science 4, no. 3 (January 2001): 62–67. http://dx.doi.org/10.1007/bf02826926.

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Whiteaker, T. L., D. R. Maidment, H. Gopalan, C. Patino, and D. C. Mckinney. "Raster‐network regionalization for watershed data processing." International Journal of Geographical Information Science 21, no. 3 (March 2007): 341–53. http://dx.doi.org/10.1080/13658810600965255.

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Dissertations / Theses on the topic "Geography – Data processing"

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Szakas, Joseph Samuel. "The potential for parallel processing in geographic data revision /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487945320760397.

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McCurry, David B. "Provenance Tracking in a Commons of Geographic Data." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/McCurryDB2007.pdf.

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Shi, Wei. "Web-based geographic information system for the archives of the Water Resources Institute." CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3312.

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This project is focused on the goal of improving access to the Water Resources Institute (WRI) archives using a web-based GIS architecture. This project uses the newest version of ArcGIS Server as a method to support an internet-based map search environment, improved information management and data sharing.

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Caviness, Dimitra-Alys Anne. "Investigating ancient religion and geography : an analysis of pre-Christian Ireland using mythology and a geographic information system." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1204486.

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Zhao, Xiaoyun. "Road network and GPS tracking with data processing and quality assessment." Licentiate thesis, Högskolan Dalarna, Mikrodataanalys, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:du-17354.

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GPS technology has been embedded into portable, low-cost electronic devices nowadays to track the movements of mobile objects. This implication has greatly impacted the transportation field by creating a novel and rich source of traffic data on the road network. Although the promise offered by GPS devices to overcome problems like underreporting, respondent fatigue, inaccuracies and other human errors in data collection is significant; the technology is still relatively new that it raises many issues for potential users. These issues tend to revolve around the following areas: reliability, data processing and the related application. This thesis aims to study the GPS tracking form the methodological, technical and practical aspects. It first evaluates the reliability of GPS based traffic data based on data from an experiment containing three different traffic modes (car, bike and bus) traveling along the road network. It then outline the general procedure for processing GPS tracking data and discuss related issues that are uncovered by using real-world GPS tracking data of 316 cars. Thirdly, it investigates the influence of road network density in finding optimal location for enhancing travel efficiency and decreasing travel cost. The results show that the geographical positioning is reliable. Velocity is slightly underestimated, whereas altitude measurements are unreliable.Post processing techniques with auxiliary information is found necessary and important when solving the inaccuracy of GPS data. The densities of the road network influence the finding of optimal locations. The influence will stabilize at a certain level and do not deteriorate when the node density is higher.

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Kjerne, Daniel. "Modeling cadastral spatial relationships using an object-oriented information structure." PDXScholar, 1987. https://pdxscholar.library.pdx.edu/open_access_etds/3721.

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This thesis identifies a problem in the current practice for storage of locational data of entities in the cadastral layer of a land information system (LIS), and presents as a solution an information model that uses an object-oriented paradigm.

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da, Silva Brum Bastos Vanessa. "New methods and applications for context aware movement analysis (CAMA)." Thesis, University of St Andrews, 2019. http://hdl.handle.net/10023/16812.

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Recent years have seen a rapid growth in movement research owing to new technologies contributing to the miniaturization and reduced costs of tracking devices. Similar trends have occurred in how environmental data are being collected (e.g., through satellites, unmanned aerial vehicles, and sensor networks). However, the development of analytical techniques for movement research has failed to keep pace with the data collection advances. There is a need for new methods capable of integrating increasingly detailed movement data with a myriad of contextual data - termed context aware movement analysis (CAMA). CAMA investigates more than movement geometry, by including biological and environmental conditions that may influence movement. However, there is a shortage of methods relating movement patterns to contextual factors, which is still limiting our ability to extract meaningful information from movement data. This thesis contributes to this methodological research gap by assessing the state-of-the art for CAMA within movement ecology and human mobility research, developing innovative methods to consider the spatio-temporal differences between movement data and contextual data and exploring computational methods that allow identification of patterns in contextualized movement data. We developed new methods and demonstrated how they facilitated and improved the integration between high frequency tracking data and temporally dynamic environmental variables. One of the methods, multi-channel sequence analysis, is then used to discover varying human behaviour relative to weather conditions in a large human GPS tracking dataset from Scotland. The second method is developed for combing multi-sensor satellite imagery (i.e., image fusion) of differing spatial and temporal resolutions. This method is applied to a GPS tracking data on maned wolves in Brazil to understand fine-scale movement behaviours related to vegetation changes across seasons. In summary, this thesis provides a significant development in terms of new ideas and techniques for performing CAMA for human and wildlife movement studies.

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Van, Lill S. W. P. (Schalk Willem Petrus). "Ontwikkeling van 'n driedimensionele netwerkmodule vir optimale roetebepaling." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52383.

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Thesis (MA)--Stellenbosch University, 2001.
ENGLISH ABSTRACT: A shortest or most economical route can easily be determined by using a geographical information system (GIS). Unfortunately, most systems compute distances in two dimensional space. As computer-technology moves towards three dimensional applications, it is essential that GIS keeps up with this trend. In this research, the network module of Arc View (using Avenue) is customized, so that topographical slope is considered in determining the shortest or most economical route. Two buttons were added to the normal Arc View interface. By doing it this way, the user has the full functionality of Arc View, as well as the use of the new application. One button initiates a dialogue for capturing the economic parameters (fuel efficiency, oil usage, tyre usage, maintenance costs and capital costs) of a vehicle. The other button selects a route network and uses a vehicle's economic parameters (as determined by the user) to calculate a most economical route. This thesis describes the procedure, logic and methodology followed in adding a most economical route-selection function to Arc View. It also demonstrates the importance of incorporating three dimensional space for determining a most economical route. The new function currently calculates a most economical route, based on vehicle running costs for Heavy Goods Vehicles (HGV's). The application performs satisfactorily, but there is scope for further development and refinement, both of the economical formulae for computing costs as well as of the graphic user interface (GUl). The flexibility of the system can be enhanced by providing for additional classes of vehicles.
AFRIKAANSE OPSOMMING: 'n Kortste of mees ekonomiese ritroete kan maklik met behulp van 'n GIS (Geografiese Inligtingstelsel) vasgestel word, maar die meeste stelsels bereken afstande in 'n plat vlak (in twee-dimensionele ruimte). Soos die rekenaartegnologie ontwikkel, word meer drie-dimensionele ruimtelike toepassings geskep, dus moet GIS-tegnologie ook toenemend die derde dimensie inkorporeer. In hierdie navorsing is Arc View se netwerk module met Avenue aangepas dat dit topografiese helling outomaties inreken by die bepaling van 'n kortste of mees ekonomiese roete. Twee knoppies is tot die normale Arc View koppelvlak bygevoeg. Deur dit so te doen, het die gebruiker toegang tot die volle funksionaliteit van Arc View en dié van die nuwe funksie. Een knoppie inisieer die koppelvlak waarmee die ekonomiese parameters (brandstof verbruik, olie verbruik, band verbruik, kapitaal koste en onderhoudskoste) van 'n voertuig opgestel word. Die ander knoppie selekteer 'n padnetwerk en gebruik 'n voertuig se ekonomiese parameters (soos gedefinieer deur die gebruiker) om 'n mees ekonomiese roete vas te stel. Hierdie tesis beskryf die prosedures, logika en metodologie waarvolgens die nuwe roeteseleksie funksie by Arc View geïnkorporeer is. Dit het ook gedemonstreer dat dit noodsaaklik is om drie-dimensionele ruimte by die bepaling van 'n mees ekonomiese roete in te sluit. Die nuwe funksie bepaal tans 'n ekonomiese roete gebaseer op die voertuig-loopkoste van swaarvoertuie. Dit funksioneer bevredigend, maar daar is steeds moontlikhede vir verdere ontwikkeling en verfyning, beide van die ekonomiese kosteberekeningsformules en die gebruikers-koppelvlak. Deur ook vir ander klasse voertuie voorsiening te maak kan die plooibaarheid van die stelselook uitgebrei word.

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Kettermann, Anna. "Estimation of Standardized Mortality Ratio in Geographic Epidemiology." Fogler Library, University of Maine, 2004. http://www.library.umaine.edu/theses/pdf/KettermanA2004.pdf.

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Bishop, Gary D. "Uncertainty analysis of runoff estimates from runoff-depth contour maps produced by five automated procedures for the northeastern United States." PDXScholar, 1991. https://pdxscholar.library.pdx.edu/open_access_etds/4313.

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Maps of runoff-depth have been found to be useful tools in a variety of water resource applications. Producing such maps can be a challenging and expensive task. One of the standard methods of producing these maps is to use a manual procedure based on gaged runoff data, topographic and past runoff-depth maps, and the expert opinion of hydrologists. This thesis examined five new automated procedures for producing runoff-depth contour maps to see if the maps produced by these procedures had similar accuracy and characteristics when compared to the manual procedure. An uncertainty analysis was used to determine the accuracy of the automated procedure maps by withholding gaged runoff data from the creation of the contour maps and then interpolating estimated runoff back to these sites from the maps produced. Subtracting gaged runoff from estimated runoff produced interpolation error values. The mean interpolation error was used to define the accuracy of each map and was then compared to a similar study by Rochelle, et al., (1989) conducted on a manual procedure map.

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Books on the topic "Geography – Data processing"

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Openshaw, Stan. Artificial intelligence in geography. Chichester: Wiley, 1997.

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Maguire, D. J. Computers in geography. Harlow: Longman Scientific & Technical, 1989.

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Maguire, D. J. Computers in geography. Harlow, Essex, England: Longman Scientific & Technical, 1989.

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A, Dawson John, ed. Computer programming for geographers. London: Longman, 1985.

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Bracken, Ian. Information technology in geography and planning. London: Routledge, 1990.

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Victoria. Office of Geographic Data Co-ordination., ed. Geographic data sets A to Z. 2nd ed. Melbourne: Office of Geographic Data Co-ordination, 1995.

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Bracken, Ian. Information technology for geography and planning. London: Routledge, 1990.

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Charre, Joël. Initiation aux pratiques informatiques en géographie: Le logiciel INFOGEO. Paris: Masson, 1989.

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Porti͡anskiĭ, I. A. Kompʹi͡uternyĭ arsenal geografii. Moskva: "Myslʹ", 1989.

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Bartelme, Norbert. GIS Technologie: Geoinformationssysteme, Landinformationssysteme und ihre Grundlagen. Berlin: Springer, 1989.

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Book chapters on the topic "Geography – Data processing"

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Yang, Chaowei, Min Sun, Kai Liu, Qunying Huang, Zhenlong Li, Zhipeng Gui, Yunfeng Jiang, et al. "Contemporary Computing Technologies for Processing Big Spatiotemporal Data." In Space-Time Integration in Geography and GIScience, 327–51. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9205-9_18.

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Gu, Baolei. "Trigonometric Curve Fitting Based on Genetic Algorithm and the Application of Data Processing in Geography." In Communications in Computer and Information Science, 104–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04962-0_12.

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Wimberly, Michael C. "Processing Tabular Data." In Geographic Data Science with R, 49–72. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003326199-3.

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Löchner, Marc, Alexander Dunkel, and Dirk Burghardt. "Protecting Privacy in Volunteered Geographic Information Processing." In Volunteered Geographic Information, 277–97. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35374-1_14.

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AbstractSocial media data is used for analytics, e.g., in science, authorities, or the industry. Privacy is often considered a secondary problem. However, protecting the privacy of social media users is demanded by laws and ethics. In order to prevent subsequent abuse, theft, or public exposure of collected datasets, privacy-aware data processing is crucial. In this chapter, we show a set of concepts to process social media data with social media user’s privacy in mind. We present a data storage concept based on the cardinality estimator HyperLogLog to store social media data, so that it is not possible to extract individual items from it, but only to estimate the cardinality of items within a certain set, plus running set operations over multiple sets to extend analytical ranges. Applying this method requires to define the scope of the result before even gathering the data. This prevents the data from being misused for other purposes at a later point in time and thus follows the privacy by design principles. We further show methods to increase privacy through the implementation of abstraction layers. As another additional instrument, we introduce a method to implement filter lists on the incoming data stream. A conclusive case study demonstrates our methods to be protected against adversarial actors.

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Brito, Jaqueline Joice, Thiago Luís Lopes Siqueira, Valéria Cesário Times, Ricardo Rodrigues Ciferri, and Cristina Dutra de Ciferri. "Efficient Processing of Drill-across Queries over Geographic Data Warehouses." In Data Warehousing and Knowledge Discovery, 152–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23544-3_12.

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Dedić, A., R. Murn, and D. Peček. "Map Data Processing in a Geographic Information System Environment." In Computer Techniques in Environmental Studies IV, 819–25. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-1874-3_57.

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Sarlej, Wojciech, Dominik Bartoszewski, Michał Lupa, and Michał Wierzbiński. "Performance Aspects of Geographic Data Processing in NoSQL Databases." In Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology, 225–27. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-43218-7_52.

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Ott, Thomas, and Frank Swiaczny. "Processing and analysis of spatio-temporal data inside a GIS." In Time-Integrative Geographic Information Systems, 127–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56747-6_5.

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Paolino, Luca, Marco Romano, Monica Sebillo, Genoveffa Tortora, and Giuliana Vitiello. "Audio-Visual Information Clues about Geographic Data on Mobile Interfaces." In Advances in Multimedia Information Processing - PCM 2009, 1156–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10467-1_116.

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Rampazzo, Francesco, Marzia Rango, and Ingmar Weber. "New Migration Data: Challenges and Opportunities." In Handbook of Computational Social Science for Policy, 345–59. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16624-2_18.

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AbstractMigration is hard to measure due to the complexity of the phenomenon and the limitations of traditional data sources. The Digital Revolution has brought opportunities in terms of new data and new methodologies for migration research. Social scientists have started to leverage data from multiple digital data sources, which have huge potential given their timeliness and wide geographic availability. Novel digital data might help in estimating migrant stocks and flows, infer intentions to migrate, and investigate the integration and cultural assimilation of migrants. Moreover, innovative methodologies can help make sense of new and diverse streams of data. For example, Bayesian methods, natural language processing, high-intensity time series, and computational methods might be relevant to study different aspects of migration. Importantly, researchers should consider the ethical implications of using these data sources, as well as the repercussions of their results.

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Conference papers on the topic "Geography – Data processing"

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Ye, Ling, and Jianhua Mao. "Spatial analysis on SQL Geography and Geometry data." In 2010 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2010. http://dx.doi.org/10.1109/icalip.2010.5685200.

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Ulengov, Ruslan, Mariya Chernisheva, Rinat Mingaliev, Ildar Urazmetov, and Xolov Yoqub. "MAPPING OF STUDENTS' FIELD RESEARCH BY MEANS OF WEB TECHNOLOGIES." In 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023/5.1/s22.71.

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Modern educational technologies offer great opportunities for teachers of general education institutions to develop key competencies in students in the geography and ecology classes. Curriculum guidelines in geography pay great attention to improving the skills of unsupervised activities, including using the resources of geographic information systems. The outcomes of mastering the main educational program should reflect the knowledge of geoinformation technologies as a tool for collecting and processing research materials and as a source of geographic information. The aim of geoinformation technologies in the educational process is to form the information competency of the participants in the educational process, and to ensure the evolution of the cognitive activity of schoolchildren. In practice, the teacher faces various problems. Poor technical equipment of the school, lack of motivation and knowledge, lack of proper competencies are significant �gaps� in the teacher�s information competence. Field observations and their office analysis are an integral process of studying geography and ecology both in a general educational institution and in a university. Currently, the study and research of the natural environment is quite closely related to the use of geographic information systems and various types of geoinformation resources: electronic digital maps, sets and databases of spatial data, GIS services and many others, students should master their capabilities and actively apply them in their research. Geoinformation software systems enable to process a huge amount of data obtained during various studies as well as to organize and regulate information that has a spatial reference.

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Díaz, Mark, Isaac Johnson, Amanda Lazar, Anne Marie Piper, and Darren Gergle. "Addressing Age-Related Bias in Sentiment Analysis." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/852.

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Recent studies have identified various forms of bias in language-based models, raising concerns about the risk of propagating social biases against certain groups based on sociodemographic factors (e.g., gender, race, geography). In this study, we analyze the treatment of age-related terms across 15 sentiment analysis models and 10 widely-used GloVe word embeddings and attempt to alleviate bias through a method of processing model training data. Our results show significant age bias is encoded in the outputs of many sentiment analysis algorithms and word embeddings, and we can alleviate this bias by manipulating training data.

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Decock, Michiel, Cornelis Stal, Samuel Van Ackere, Annelies Vandenbulcke, Philippe De Maeyer, and Alain De Wulf. "DEVELOPMENT OF AN EFFICIENT APPROACH OF ARCHAEOLOGICAL HERITAGE IN THE INTERTIDAL ZONE OF THE BELGIAN NORTH SEA." In ARQUEOLÓGICA 2.0 - 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/arqueologica8.2016.3554.

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The knowledge of the submerged cultural heritage in the North Sea is rather limited. The Belgian North Sea is being used for a lot of different purposes, such as fishing, aggregate extraction, wind farms, dredging, etc. Due to these increasing economic activities, the underwater archive is in danger. In the context of the UNESCO Convention on the Protection of the Underwater Cultural Heritage of 2001, gathering more information about the submerged cultural heritage in the intertidal zones of the North Sea is one of the main objectives of the Belgian scientific project ‘SeArch’. It will give a clearer picture of the broader cultural and archaeological heritage in the region and it can be used as a basis for a sustainable management by government agencies. The Department of Geography (Ghent University, Belgium) contributes to the SeArch project in two ways. First, an innovative survey methodology has been developed which allows an accurate and cost-efficient evaluation of the archaeological potential in the intertidal zones of the Belgian beaches. Secondly, the Department of Geography is developing an interactive webGIS platform, which makes it possible to share, integrate and visualize the gathered archaeological and environmental data and information in a user-friendly way. Hereby, the total potential of this project is fully exploited in a time-efficient manner. To create an interactive webGIS platform, a good structured spatial database is needed. It enables manipulation of a wide variety of georeferenced information in both raster and vector formats. This paper provides more information about the configuration and application of the spatial database. Moreover, it focusses on the development of a fully functional Spatial Data Infrastructure (SDI) using the most reliable, powerful and state-of-the-art technological components. Besides, a new way of collecting geomatic data in a fast and accurate manner will be discussed. Some processing results will show the possibilities for detecting and visualizing underground structures and archaeological objects.

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Galiullin, L. A., and A. Kh Tazmeev. "Geographic information systems data processing method." In 2ND INTERNATIONAL CONFERENCE & EXPOSITION ON MECHANICAL, MATERIAL, AND MANUFACTURING TECHNOLOGY (ICE3MT 2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0132376.

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Roman, Gruia-Catalin. "Formal specification of geographic data processing requirements." In 1986 IEEE Second International Conference on Data Engineering. IEEE, 1986. http://dx.doi.org/10.1109/icde.1986.7266250.

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O'Meally, Franz, Jacob Holden, and Madeline Gilleran. "Vehicle Powertrain Simulation Accuracy for Various Drive Cycle Frequencies and Upsampling Techniques." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0345.

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<div class="section abstract"><div class="htmlview paragraph">As connected and automated vehicle technologies emerge and proliferate, lower frequency vehicle trajectory data is becoming more widely available. In some cases, entire fleets are streaming position, speed, and telemetry at sample rates of less than 10 seconds. This presents opportunities to apply powertrain simulators such as the National Renewable Energy Laboratory’s Future Automotive Systems Technology Simulator to model how advanced powertrain technologies would perform in the real world. However, connected vehicle data tends to be available at lower temporal frequencies than the 1-10 Hz trajectories that have typically been used for powertrain simulation. Higher frequency data, typically used for simulation, is costly to collect and store and therefore is often limited in density and geography. This paper explores the suitability of lower frequency, high availability, connected vehicle data for detailed powertrain simulation. A large data set of 1 Hz trajectories is used to quantify the accuracy loss when simulating energy consumption for conventional, hybrid, and battery electric powertrains using less than 1 Hz data. Techniques to upsample lower frequency drive cycle data in order to increase accuracy are also explored. Median energy consumption errors when simulating energy consumption for a 1/10 Hz trajectory are found to be 3-6% when compared to 1 Hz trajectories. Applying upsampling and interpolation techniques are shown to reduce the simulation errors by roughly 50%. The findings in this work can guide connected vehicle data collection specifications and processing techniques applied when using collected data for powertrain simulation.</div></div>

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Dontsov, A. A., and I. A. Sutorikhin. "Development of a geographic information system for data collection and analysis based on microservice architecture." In Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.93.41.034.

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The paper discusses the use of microservice architecture in the development of geographic information systems (GIS) for collecting, processing and analyzing data. As a rule, microservice architecture is used to build applications in information systems related to solving business problems, and is not widespread in the development of geographic information systems in the scientific field. However, its application is now becoming increasingly important. Decomposition of the software implementation and GIS infrastructure associated with computations and data processing into components in the form of microservices has a number of advantages, such as: increased fault tolerance, increased flexibility, reduced maintenance effort, simplified scaling, and others. The first results of the application of the microservice approach in the development of a geoinformation system for the collection and processing of hydrological and hydrobiological data on the state of water bodies are shown. The architecture, main components, and features of the information infrastructure are shown.

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Lee, Kisung, Raghu K. Ganti, Mudhakar Srivatsa, and Ling Liu. "Efficient spatial query processing for big data." In SIGSPATIAL '14: 22nd SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2666310.2666481.

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Pintor, Paulo, Rogério Luís de C. Costa, and José Moreira. "Near real time analytic processing of traffic data streams." In SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3423457.3429365.

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Reports on the topic "Geography – Data processing"

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Blundell, S. User guide : the DEM Breakline and Differencing Analysis Tool—gridded elevation model analysis with a convenient graphical user interface. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45040.

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Gridded elevation models of the earth’s surface derived from airborne lidar data or other sources can provide qualitative and quantitative information about the terrain and its surface features through analysis of the local spatial variation in elevation. The DEM Breakline and Differencing Analysis Tool was developed to extract and display micro-terrain features and vegetative cover based on the numerical modeling of elevation discontinuities or breaklines (breaks-in-slope), slope, terrain ruggedness, local surface optima, and the local elevation difference between first surface and bare earth input models. Using numerical algorithms developed in-house at the U.S. Army Engineer Research and Development Center, Geospatial Research Laboratory, various parameters are calculated for each cell in the model matrix in an initial processing phase. The results are combined and thresholded by the user in different ways for display and analysis. A graphical user interface provides control of input models, processing, and display as color-mapped overlays. Output displays can be saved as images, and the overlay data can be saved as raster layers for input into geographic information systems for further analysis.

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Papasodoro, C., D. Bélanger, G. Légaré-Couture, and H. Russel. Assessment of approaches and costs associated with the correction of the HRDEM product data in the Canadian Arctic. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331974.

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The High-Resolution Digital Elevation Model (HRDEM) was created as part of the National Elevation Data Strategy to provide detailed elevation data across the country. For the Canadian Arctic, the HRDEM was based on the ArcticDEM initiative with additional post-processing by the Canada Centre for Mapping and Earth Observation to create a 2-meter Digital Surface Model (DSM) covering a geographic region of approximately 4.6 million km2. This report provides details on the investigation of the data issues within HRDEM in the North, available open and commercial sources of elevation data that could be used to improve the product, and technologies available to generate high resolution DSM at similar levels of accuracy and resolution than the current HRDEM. In addition, the report summarizes the results of a research into the common, as well as more advanced (e.g., machine learning), methods for improving the product. In summary, the intent of this investigation was to provide supporting information to address the data anomalies in HRDEM and present a path forward.

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