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Статті в журналах з теми "Spatial data and applications"
Nikparvar, Behnam, and Jean-Claude Thill. "Machine Learning of Spatial Data." ISPRS International Journal of Geo-Information 10, no. 9 (September 12, 2021): 600. http://dx.doi.org/10.3390/ijgi10090600.
Повний текст джерелаGeymen, A., and T. Yomralioglu. "Spatial data-based e-municipality applications." Proceedings of the Institution of Civil Engineers - Municipal Engineer 163, no. 2 (June 2010): 77–88. http://dx.doi.org/10.1680/muen.2010.163.2.77.
Повний текст джерелаOsborn, Wendy. "Unbounded Spatial Data Stream Query Processing using Spatial Semijoins." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 02 (March 1, 2021): 33–41. http://dx.doi.org/10.5383/juspn.15.02.005.
Повний текст джерелаRavada, Siva. "Big data spatial analytics for enterprise applications." SIGSPATIAL Special 6, no. 2 (March 10, 2015): 34–41. http://dx.doi.org/10.1145/2744700.2744705.
Повний текст джерелаLi, Deren, Shuliang Wang, Hanning Yuan, and Deyi Li. "Software and applications of spatial data mining." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6, no. 3 (April 14, 2016): 84–114. http://dx.doi.org/10.1002/widm.1180.
Повний текст джерелаHunter, Gary J., Monica Wachowicz, and Arnold K. Bregt. "Understanding Spatial Data Usability." Data Science Journal 2 (2003): 79–89. http://dx.doi.org/10.2481/dsj.2.79.
Повний текст джерелаGbenga, Folami. "Building GIS Applications using Spatial Network Data Models." International Journal of Computer Applications 181, no. 48 (April 11, 2019): 22–25. http://dx.doi.org/10.5120/ijca2019918655.
Повний текст джерелаNievergelt, J. "Special Issue Editorial Spatial data: applications, concepts, techniques." Computer Journal 37, no. 1 (January 1, 1994): 1–2. http://dx.doi.org/10.1093/comjnl/37.1.1.
Повний текст джерелаNguyen, Hai, Noel Cressie, and Amy Braverman. "Spatial Statistical Data Fusion for Remote Sensing Applications." Journal of the American Statistical Association 107, no. 499 (September 2012): 1004–18. http://dx.doi.org/10.1080/01621459.2012.694717.
Повний текст джерелаJain, Khushboo, and Anoop Kumar. "Energy-Efficient Data-Aggregation Technique for Correlated Spatial and Temporal Data in Cluster-Based Sensor Networks." International Journal of Business Data Communications and Networking 16, no. 2 (July 2020): 53–68. http://dx.doi.org/10.4018/ijbdcn.2020070103.
Повний текст джерелаДисертації з теми "Spatial data and applications"
Li, Xintong. "Modeling for Spatial and Spatio-Temporal Data with Applications." Diss., Kansas State University, 2018. http://hdl.handle.net/2097/38749.
Повний текст джерелаDepartment of Statistics
Juan Du
It is common to assume the spatial or spatio-temporal data are realizations of underlying random elds or stochastic processes. E ective approaches to modelling of the underlying autocorrelation structure of the same random eld and the association among multiple processes are of great demand in many areas including atmospheric sciences, meteorology and agriculture. To this end, this dissertation studies methods and application of the spatial modeling of large-scale dependence structure and spatio-temporal regression modelling. First, variogram and variogram matrix functions play important roles in modeling dependence structure among processes at di erent locations in spatial statistics. With more and more data collected on a global scale in environmental science, geophysics, and related elds, we focus on the characterizations of the variogram models on spheres of all dimensions for both stationary and intrinsic stationary, univariate and multivariate random elds. Some e cient approaches are proposed to construct a variety of variograms including simple polynomial structures. In particular, the series representation and spherical behavior of intrinsic stationary random elds are explored in both theoretical and simulation study. The applications of the proposed model and related theoretical results are demonstrated using simulation and real data analysis. Second, knowledge of the influential factors on the number of days suitable for fieldwork (DSFW) has important implications on timing of agricultural eld operations, machinery decision, and risk management. To assess how some global climate phenomena such as El Nino Southern Oscillation (ENSO) a ects DSFW and capture their complex associations in space and time, we propose various spatio-temporal dynamic models under hierarchical Bayesian framework. The Integrated Nested Laplace Approximation (INLA) is used and adapted to reduce the computational burden experienced when a large number of geo-locations and time points is considered in the data set. A comparison study between dynamics models with INLA viewing spatial domain as discrete and continuous is conducted and their pros and cons are evaluated based on multiple criteria. Finally a model with time- varying coefficients is shown to reflect the dynamic nature of the impact and lagged effect of ENSO on DSFW in US with spatio-temporal correlations accounted.
Embleton, Nina Lois. "Handling sparse spatial data in ecological applications." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5840/.
Повний текст джерелаDavies, Jessica. "Expanding the spatial data infrastructure model to support spatial wireless applications /." Connect to thesis, 2003. http://eprints.unimelb.edu.au/archive/00001044.
Повний текст джерелаMenezes, Kim Anne. "Bayesian spatial models : applications for tropospheric ozone data /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.
Повний текст джерелаYu, Jihai. "Essays on spatial dynamic panel data model theories and applications /." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1179767430.
Повний текст джерелаHonnor, Thomas R. "Some spatial statistical techniques with applications to cellular imaging data." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/97940/.
Повний текст джерелаVuorio, R. (Riikka). "Use of public sector’s open spatial data in commercial applications." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201311201883.
Повний текст джерелаMartin, Elaine B. "The detection of change in spatial processes with environmental applications." Thesis, University of Glasgow, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361063.
Повний текст джерелаBerndt, Christian [Verfasser]. "Spatial interpolation of climate data for hydrological and environmental applications / Christian Berndt." Hannover : Technische Informationsbibliothek (TIB), 2016. http://d-nb.info/1124166823/34.
Повний текст джерелаZborovskiy, Marat. "Representing and manipulating spatial data in interoperable systems and its industrial applications." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35099.
Повний текст джерелаIncludes bibliographical references (p. 123-126).
Introduction: The amount of information available nowadays is staggering and increases exponentially. Making sense of this data has become increasingly difficult because of the two factors: · The sheer volume of data · The lack of interoperability between disparate data sources and models While one can do little about the former factor, the latter one can be mitigated by advancing solutions that make data easy to work with and ensure the interoperability among data sources and models in intelligent networks. One way to achieve interoperability is to force every entity involved in the data exchange to adopt the same standard. However, organizations have heavily invested in proprietary data standards and are unlikely to replace their existing standards with a new one. Therefore, another solution is to create a standard, through which organizations can translate their data sources and share them with their customers or general community. The MIT Data Center is spearheading an initiative to create M - a language that is capable to provide the much needed interoperability between divergent data sources and models with an ultimate goal of creating a new intelligent information infrastructure (Brock, Schuster and Kutz 2006).
by Marat Zborovskiy.
S.M.
Книги з теми "Spatial data and applications"
Sibley, David. Spatial applications of exploratory data analysis. Norwich: Geo Books, 1988.
Знайти повний текст джерелаN, Boots B., and Sugihara Kōkichi 1948-, eds. Spatial tessellations: Concepts and applications of Voronoi diagrams. Chichester, England: Wiley, 1992.
Знайти повний текст джерелаStillwell, John C. H. Technologies for migration and commuting analysis: Spatial interaction data applications. Hershey, PA: Business Science Reference, 2010.
Знайти повний текст джерелаOort, Pepijn van. Spatial data quality: From description to application. Delft: NCG, Nederlandse Commissie voor Geodesie, 2005.
Знайти повний текст джерелаAlbert, Donald Patrick, and G. Rebecca Dobbs. Emerging methods and multidisciplinary applications in geospatial research. Hershey PA: Information Science Reference, 2013.
Знайти повний текст джерелаSamet, Hanan. Applications of spatial data structures: Computer graphics, image processing, and GIS. Reading, Mass: Addison-Wesley, 1990.
Знайти повний текст джерелаDiaz, Laura, and Carlos Granell. Discovery of geospatial resources: Methodologies, technologies, and emergent applications. Hershey PA: Information Science Reference, 2012.
Знайти повний текст джерелаFischer, Manfred M. Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.
Знайти повний текст джерелаZoran, Stančič, and Veljanovski Tatjana, eds. Computing archaeology for understanding the past: CAA 2000 : computer applications and quantitative methods in archaeology : proceedings of the 28th Conference, Ljubljana, April 2000. Oxford, England: Archaeopress, 2001.
Знайти повний текст джерелаCentre national d'études spatiales (France)., ed. Systèmes informatiques temps réel pour les applications spatiales =: Real-time embedded processing for space applications. Toulouse: Cépaduès, 1993.
Знайти повний текст джерелаЧастини книг з теми "Spatial data and applications"
Mamoulis, Nikos. "Applications of Spatial Data Management Technology." In Spatial Data Management, 85–118. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-01884-8_6.
Повний текст джерелаPeri, M., C. Regazzoni, A. Tesei, and G. Vernazza. "Spatial Fusion of Multisensor Visual Information for Crowding Evaluation." In Data Fusion Applications, 155–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84990-9_15.
Повний текст джерелаVaisman, Alejandro, and Esteban Zimányi. "Spatial and Mobility Data Warehouses." In Data-Centric Systems and Applications, 437–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-65167-4_12.
Повний текст джерелаWaller, Lance A. "Applications of Big Spatial Data: Health." In Encyclopedia of Big Data Technologies, 1–4. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63962-8_72-1.
Повний текст джерелаWaller, Lance A. "Applications of Big Spatial Data: Health." In Encyclopedia of Big Data Technologies, 1–5. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-63962-8_72-2.
Повний текст джерелаWaller, Lance A. "Applications of Big Spatial Data: Health." In Encyclopedia of Big Data Technologies, 86–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77525-8_72.
Повний текст джерелаAkiki, Pierre, and Hoda Maalouf. "Incorporating Spatial Data into Enterprise Applications." In Information Systems Development, 695–704. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/b137171_72.
Повний текст джерелаShekhar, Shashi, Yan Huang, Weili Wu, C. T. Lu, and S. Chawla. "What’s Spatial About Spatial Data Mining: Three Case Studies." In Data Mining for Scientific and Engineering Applications, 487–514. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1733-7_26.
Повний текст джерелаYuan, Huaqiang, Yaxun Wang, Jie Zhang, Wei Tan, Chao Qu, and Wenbin He. "Spatial Fuzzy Clustering Using Varying Coefficients." In Advanced Data Mining and Applications, 183–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73871-8_18.
Повний текст джерелаWang, Shuliang, and Haning Yuan. "View-Angle of Spatial Data Mining." In Advanced Data Mining and Applications, 1065–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11811305_116.
Повний текст джерелаТези доповідей конференцій з теми "Spatial data and applications"
Ginige, Athula, Marco Romano, Monica Sebillo, Giuliana Vitiello, and Pasquale Di Giovanni. "Spatial data and mobile applications." In the International Working Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2254556.2254591.
Повний текст джерелаRahman, Yitoshee, Sarker Monojit Asish, Adil Khokhar, Arun K. Kulshreshth, and Christoph W. Borst. "Gaze Data Visualizations for Educational VR Applications." In SUI '19: Symposium on Spatial User Interaction. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3357251.3358752.
Повний текст джерелаShi, Qingdong, Jiaguo Qi, Lijun Chen, Shunli Chang, Qingsan Shi, and Guanghui Lv. "Validating classification accuracy of low spatial resolution data by using high spatial resolution data." In Optical Engineering + Applications, edited by Wei Gao and Susan L. Ustin. SPIE, 2007. http://dx.doi.org/10.1117/12.741540.
Повний текст джерелаZeng, Chen, Yanfang Liu, Yaolin Liu, Xing Li, and Ya Tang. "Application of high-resolution RS image in settlement extraction." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838545.
Повний текст джерелаXia, Yin, Yaolin Liu, Xiaofeng Hong, and Dianfeng Liu. "Application of binary tree based SVMs approach to land grade evaluation." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838414.
Повний текст джерелаYuan, Hanning, and Shuliang Wang. "Data preprocessing of spatial data mining." In MIPPR 2005 Geospatial Information, Data Mining, and Applications, edited by Jianya Gong, Qing Zhu, Yaolin Liu, and Shuliang Wang. SPIE, 2005. http://dx.doi.org/10.1117/12.650728.
Повний текст джерелаHuang, Zhengdong, Jie Li, and Xiaotang Xia. "Representation and application of bus system at the lowest level of detail." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837290.
Повний текст джерелаLiu, Fucheng, Xuezhao He, and Li Zhou. "Application of generalized regression neural network residual kriging for terrain surface interpolation." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837425.
Повний текст джерелаLan, Qiuping, Lifan Fei, Yining Liu, and Kun Zhang. "Application of multi-temporal DEM data in calculating the Earth's surface deformation." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837926.
Повний текст джерелаLi, Wenjing, Qiao Wang, and Zhiyong Lin. "Application research of rough sets in the multi-elemental cooperative spatial analysis." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838284.
Повний текст джерелаЗвіти організацій з теми "Spatial data and applications"
Connell, S., J. Ernsting, D. Kukan, and A. Currie. GEOSIS project-integration of text and spatial data for geoscience applications. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128099.
Повний текст джерелаBorgoni, Riccardo, and Francesco C. Billari. Bayesian spatial analysis of demographic survey data: an application to contraceptive use at first sexual intercourse. Rostock: Max Planck Institute for Demographic Research, October 2002. http://dx.doi.org/10.4054/mpidr-wp-2002-048.
Повний текст джерелаLewis, David J., and Ralph J. Alig. A spatial econometric analysis of land-use change with land cover trends data: an application to the Pacific Northwest. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2014. http://dx.doi.org/10.2737/pnw-rp-600.
Повний текст джерелаBelles, Randy, Gary T. Mays, Olufemi A. Omitaomu, and Willis P. Poore III. Updated Application of Spatial Data Modeling and Geographical Information Systems (GIS) for Identification of Potential Siting Options for Small Modular Reactors. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1052267.
Повний текст джерелаMays, Gary T., Randy Belles, Brandon R. Blevins, Stanton W. Hadley, Thomas J. Harrison, Warren C. Jochem, Bradley S. Neish, Olufemi A. Omitaomu, and Amy N. Rose. Application of Spatial Data Modeling and Geographical Information Systems (GIS) for Identification of Potential Siting Options for Various Electrical Generation Sources. Office of Scientific and Technical Information (OSTI), May 2012. http://dx.doi.org/10.2172/1032036.
Повний текст джерелаReyes, Julian, Jeb Williamson, and Emile Elias. Spatio-temporal analysis of Federal crop insurance cause of loss data: A roadmap for research and outreach effort. U.S. Department of Agriculture, April 2018. http://dx.doi.org/10.32747/2018.7202608.ch.
Повний текст джерелаХолошин, Ігор Віталійович, Ірина Миколаївна Варфоломєєва, Олена Вікторівна Ганчук, Ольга Володимирівна Бондаренко, and Андрій Валерійович Пікільняк. Pedagogical techniques of Earth remote sensing data application into modern school practice. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/3257.
Повний текст джерелаKholoshyn, Ihor V., Iryna M. Varfolomyeyeva, Olena V. Hanchuk, Olga V. Bondarenko, and Andrey V. Pikilnyak. Pedagogical techniques of Earth remote sensing data application into modern school practice. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3262.
Повний текст джерелаCohen, Yafit, Carl Rosen, Victor Alchanatis, David Mulla, Bruria Heuer, and Zion Dar. Fusion of Hyper-Spectral and Thermal Images for Evaluating Nitrogen and Water Status in Potato Fields for Variable Rate Application. United States Department of Agriculture, November 2013. http://dx.doi.org/10.32747/2013.7594385.bard.
Повний текст джерелаTarko, Andrew P., Mario A. Romero, Vamsi Krishna Bandaru, and Cristhian Lizarazo. TScan–Stationary LiDAR for Traffic and Safety Applications: Vehicle Interpretation and Tracking. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317402.
Повний текст джерела