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Artykuły w czasopismach na temat "Spatial analysis"

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Wiwin, Sulistyo, Sulistyo Wiwin, and Pulungan Reza. "Development of a Spatial Path-Analysis Method for Spatial Data Analysis." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 4 (2018): 2456–67. https://doi.org/10.11591/ijece.v8i4.pp2456-2467.

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Path analysis is a method for identifying and analyzing direct and indirect relationship between independent and dependent variables. This method was developed by Sewal Wright and initially only used correlation analysis results in identifying the variables’ relationship. So far, path analysis has been mostly used to deal with variables of non-spatial data type. When analyzing variables that have elements of spatial dependency, path analysis could result in a less precise model. Therefore, it is necessary to build a path analysis model that is able to identify and take into account the e
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Sapaty, P. S. "Holistic spatial analysis of distributed worlds." Mathematical machines and systems 2 (2022): 3–18. http://dx.doi.org/10.34121/1028-9763-2022-2-3-18.

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The paper investigates extended applications of the developed spatial grasp model and technology for analyzing large distributed systems and environments, as well as some examples of solving typical problems in them in the Spatial Grasp Language (SGL). The Spatial Grasp (SG) paradigm allows solving complex problems in a holistic and fully distributed way. It develops in distributed spaces as active ubiquitous waves or even viruses and grasps solutions to spatial problems in parallel pattern-matching mode, fundamentally differing from traditional representations of systems and their solutions a
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Azhari, Septian Cahya, Iman Hilman, Siti Fadjarajani, and Guruh Sukmo. "A Bibliometric Analysis: Remote Sensing Literature in Dimensions.ai Database." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 22, no. 2 (2022): 79–94. http://dx.doi.org/10.21009/spatial.222.01.

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This research using bibliometric analysis aims to identify and visualize research developments in the field of remote sensing studies. The data is obtained from 2021-2022 through dimensions.ai with criteria for articles that have a digital object identifier (DOI). The data generated were 2645 articles which were then analyzed using the VosViewer device. The data analyzed includes the development of popular keywords, affiliations, countries and authors who do a lot of research in the field of remote sensing. The results of the study found 4 clusters with 216 items for keywords, 6 clusters and 3
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Azhari, Septian Cahya, Iman Hilman, Siti Fadjarajani, and Guruh Sukmo. "A Bibliometric Analysis: Remote Sensing Literature in Dimensions.ai Database." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 22, no. 2 (2022): 91–106. http://dx.doi.org/10.21009/spatial.222.001.

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This research using bibliometric analysis aims to identify and visualize research developments in the field of remote sensing studies. The data is obtained from 2021-2022 through dimensions.ai with criteria for articles that have a digital object identifier (DOI). The data generated were 2645 articles which were then analyzed using the VosViewer device. The data analyzed includes the development of popular keywords, affiliations, countries and authors who do a lot of research in the field of remote sensing. The results of the study found 4 clusters with 216 items for keywords, 6 clusters and 3
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Sharma, Vikash, Mohit Kumar, Mona Yadav, and Vikas Sihag. "Spatial Analysis of Camel Distribution in Haryana." International Journal of Scientific Engineering and Research 3, no. 11 (2015): 5–8. https://doi.org/10.70729/ijser15558.

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Sharma, Vikash, Mona Yadav, Vikas Sihag, and Mohit Kumar. "Spatial Analysis of Goat Distribution in Haryana." International Journal of Scientific Engineering and Research 3, no. 11 (2015): 1–4. https://doi.org/10.70729/ijser15556.

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Unwin, David J. "GIS, spatial analysis and spatial statistics." Progress in Human Geography 20, no. 4 (1996): 540–51. http://dx.doi.org/10.1177/030913259602000408.

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Liu, Yupeng, Wei-Qiang Chen, Tao Lin, and Lijie Gao. "How Spatial Analysis Can Help Enhance Material Stocks and Flows Analysis?" Resources 8, no. 1 (2019): 46. http://dx.doi.org/10.3390/resources8010046.

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Spatial information can be integrated into almost all fields of industrial ecology. Many researchers have shown that spatial proximity affects a variety of behaviors and interactions, and thus matters for materials stocks and flows analysis. However, normal tools or models in industrial ecology based on temporal dependence cannot be simply applied to the case of spatial dependence. This paper proposes a framework integrating material stocks and flows analysis with spatial analysis. We argue that spatial analysis can help data management and visualization, determine spatio-temporal patterns-pro
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Zhou, Qiming, and Jianfeng Li. "Geo-Spatial Analysis in Hydrology." ISPRS International Journal of Geo-Information 9, no. 7 (2020): 435. http://dx.doi.org/10.3390/ijgi9070435.

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With the increasing demand for accurate and reliable hydrological information, geo-spatial analysis plays a more and more important role in hydrological studies. The development of the geo-spatial technique advances our understanding of the complex and spatially heterogeneous hydrological systems. Meanwhile, how to efficiently and effectively process and analyze multi-source geo-spatial data has become more challenging in the fields of hydrology. In this editorial, we first review the development and application of geo-spatial analysis in three major topics in hydrological studies, namely the
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Banerjee, Sudipto. "Spatial Data Analysis." Annual Review of Public Health 37, no. 1 (2016): 47–60. http://dx.doi.org/10.1146/annurev-publhealth-032315-021711.

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Rozprawy doktorskie na temat "Spatial analysis"

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Fischer, Manfred M. "Spatial Analysis." WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/4145/1/WSG_DP_6699.pdf.

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This article views spatial analysis as a research paradigm that provides a unique set of specialised techniques and models for a wide range of research questions in which the prime variables of interest vary significantly over space. The heartland of spatial analysis is concerned with the analysis and modeling of spatial data. Spatial point patterns and area referenced data represent the most appropriate perspectives for applications in the social sciences. The researcher analysing and modeling spatial data tends to be confronted with a series of problems such as the data quality problem,
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Yan, Hongjia. "Statistical analysis of spatial dynamic pattern in spatial data analysis." Thesis, University of York, 2013. http://etheses.whiterose.ac.uk/4495/.

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In this thesis, inspired by the Boston House Price data, we propose a semiparametric spatial dynamic model, that extends the ordinary spatial autoregressive models to accommodate the effects of some covariates associated with the House price. A profile likelihood-based estimation procedure is proposed and the asymptotic normality of the proposed estimators are derived. We also investigate the connection between cross-validation method and AIC/BIC methods in the semiparametric family. In the proposed model, it is easier to apply the AIC/BIC method than the 'cross-validation' method. We illustra
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Yue, Yu. "Spatially adaptive priors for regression and spatial modeling." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/6059.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 3, 2009) Vita. Includes bibliographical references.
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Zhang, Jun. "Nearest neighbor queries in spatial and spatio-temporal databases /." View abstract or full-text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20ZHANG.

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Zhang, Xiang. "Analysis of Spatial Data." UKnowledge, 2013. http://uknowledge.uky.edu/statistics_etds/4.

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In many areas of the agriculture, biological, physical and social sciences, spatial lattice data are becoming increasingly common. In addition, a large amount of lattice data shows not only visible spatial pattern but also temporal pattern (see, Zhu et al. 2005). An interesting problem is to develop a model to systematically model the relationship between the response variable and possible explanatory variable, while accounting for space and time effect simultaneously. Spatial-temporal linear model and the corresponding likelihood-based statistical inference are important tools for the analysi
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White, Gentry. "Bayesian semiparametric spatial and joint spatio-temporal modeling." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4450.

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Thesis (Ph.D.)--University of Missouri-Columbia, 2006.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (May 2, 2007) Vita. Includes bibliographical references.
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Hashimoto, Tomoyuki. "Spatial analysis of pedestrian accidents." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001072.

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Katz, Ronit. "Spatial analysis of pore images." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260735.

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Mugglestone, Moira A. "Spectral analysis of spatial processes." Thesis, University of Edinburgh, 1990. http://hdl.handle.net/1842/15450.

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This thesis is concerned with the development of two-dimensional spectral analysis as a technique for investigating spatial pattern, and the stochastic processes which generate pattern. The technique is discussed for two types of data: first, quantitative measurements associated with a rectangular grid, or lattice; secondly, analysis of spatial point patterns using the coordinates which describe the locations of events. Spectral analysis of lattice data is applied to two examples of remotely sensed digital imagery. The first example consists of digitised aerial photographs of glaciated terrain
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Basnet, Shiva. "Spatial Analysis of Rock Textures." Bowling Green State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1349988757.

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Książki na temat "Spatial analysis"

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Murtagh, Fionn. Handbook of cluster analysis. Edited by Meilă Marina 1962 editor. Taylor & Francis, 2016.

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Fischer, Manfred M., and Jinfeng Wang. Spatial Data Analysis. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21720-3.

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Sibley, David. Spatial applications of exploratory data analysis. Geo Books, 1988.

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Andrew, Lawson, and Denison David G. T, eds. Spatial cluster modelling. Chapman & Hall/CRC, 2002.

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Bailey, Trevor C. Interactive spatial data analysis. Longman Scientific & Technical, 1995.

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Ripley, Brian D. Spatial statistics. Wiley-Interscience, 2004.

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Kovalerchuk, Boris, and James Schwing, eds. Visual and Spatial Analysis. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2958-5.

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Páez, Antonio, Julie Gallo, Ron N. Buliung, and Sandy Dall'erba, eds. Progress in Spatial Analysis. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03326-1.

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Sanders, Lena, ed. Models in Spatial Analysis. ISTE, 2007. http://dx.doi.org/10.1002/9780470612255.

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Okabe, Atsuyuki, and Kokichi Sugihara. Spatial Analysis along Networks. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119967101.

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Części książek na temat "Spatial analysis"

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Gaydarska, Bisserka. "Spatial Analysis." In SpringerBriefs in Archaeology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09819-7_9.

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Isik, Fikret, James Holland, and Christian Maltecca. "Spatial Analysis." In Genetic Data Analysis for Plant and Animal Breeding. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55177-7_7.

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Schulze Bäing, Andreas. "Spatial Analysis." In Encyclopedia of Quality of Life and Well-Being Research. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2818.

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Gleeson, A. C. "Spatial analysis." In Statistical Methods for Plant Variety Evaluation. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1503-9_5.

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Linke, Andrew M., and John O'Loughlin. "Spatial Analysis." In The Wiley Blackwell Companion to Political Geography. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118725771.ch15.

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Fox, Charles. "Spatial Analysis." In Springer Textbooks in Earth Sciences, Geography and Environment. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72953-4_8.

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Shekhar, Shashi, and Hui Xiong. "Spatial Analysis." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1240.

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Zhu, Xuan. "Spatial Analysis." In Geographical Information Systems, 2nd ed. Routledge, 2024. http://dx.doi.org/10.4324/9781003343226-5.

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Liu, Pengyuan. "Spatial Analysis." In The Encyclopedia of Human Geography. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-25900-5_317-1.

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Chen, Qiyu, Gang Liu, Xiaogang Ma, and Xiang Que. "Spatial Analysis." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-85040-1_300.

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Streszczenia konferencji na temat "Spatial analysis"

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Lin, Zhiyong, and Shuang Liang. "The application of spatial analysis based on rough set theory and hierarchical 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/10.1117/12.838418.

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Yi, Wenbin, and Hong Tang. "Experimental analysis on classification of unmanned aerial vehicle images using the probabilistic latent semantic 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/10.1117/12.838283.

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Wang, Zhongyuan, and Zongyi He. "Spatial clustering analysis based on graphics." 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/10.1117/12.838631.

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Ke, Xi-lin, Qing-sheng Guo, Yue-peng Zhang, and Ping Gao. "Multi-scale terrain representation and terrain 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/10.1117/12.837528.

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Wang, Hong, Chengqi Cheng, and Tinghua Ai. "Pattern analysis of geo-referenced motion processes." 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/10.1117/12.838124.

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Wang, Changwei, Deren Li, Yueming Hu, Xiaofang Wu, and Yu Qi. "Research of spatio-temporal analysis of agricultural pest." 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/10.1117/12.838413.

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Shu, Hong, Chao Zhao, and Aiping Xu. "Spatio-temporal statistics for exploratory NDVI image 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/10.1117/12.838576.

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Li, Sha, Hong Shu, and Zhengquan Xu. "A spatial-temporal covariance model for rainfall 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/10.1117/12.838632.

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Serrano, E., M. P. Y. Desmulliez, S. M. Prince, H. Inbar, and B. S. Wherrett. "Multiple-Quantum-Well Binary-Phase Modulators: Design and Tolerance Analysis." In Spatial Light Modulators. Optica Publishing Group, 1997. http://dx.doi.org/10.1364/slmo.1997.stue.9.

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Over the last fifteen years, various types of semiconductor electro-absorption modulators have been fabricated and analysed. The potential use of such devices in photonic switching fabrics and inter-chip interconnections has provoked numerous studies of their performance capabilities and design trade-offs [1,2]. Of particular concern has been the impossibility, until recently, to manufacture fast 2-D multiple quantum well (MQW) phase modulator arrays. Trezza and coworkers reported a π-phase change in a reflection-mode vertical cavity asymmetric multiple quantum well [3], in which the absorptio
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Zhang, Xia, and Qing Zhu. "Scheme evaluation of urban design using 3D visual 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/10.1117/12.838542.

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Raporty organizacyjne na temat "Spatial analysis"

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Thiessen, R. L., and J. R. Eliason. Geologic spatial analysis. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6160871.

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Affleck, Rosa T., and Sally A. Shoop. Spatial Analysis of Thaw Depth. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada392172.

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Crovella, Mark, and Eric Kolaczyk. Graph Wavelets for Spatial Traffic Analysis. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada442573.

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Stone, Gregory. Discussion & analysis: Spatial reasoning assessment. The Learning Partnership, 2021. http://dx.doi.org/10.51420/report.2021.2.

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A complete Rasch multi-faceted analysis was performed on the draft Spatial Reasoning Assessment. While the psychometric report presents the complete analysis for the examination, this discussion proceeds step-by-step to understand the way in which the analysis proceeded, and the findings therein. The findings were that holistically, the instrument performed admirably. As a pretest, it is likely that students were not expected to demonstrate certain reasoning skills (e.g., GIS) as indeed they did not. The rating scale functions well to capture the examiner judgement. Overall, the instrument wor
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Grunsky, E. Spatial factor analysis: a technique to assess the spatial relationships of multivariate data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128074.

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Wheelock, David C., Gary A. Wagner, and Thomas A. Garrett. A Spatial Analysis of State Banking Regulation. Federal Reserve Bank of St. Louis, 2003. http://dx.doi.org/10.20955/wp.2003.044.

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YEON, Yeong Kwang, Jong Gyu HAN, and Hye Ja HYUN. Spatial Prediction Analysis Using a Neural Network. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0058.

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Liebhold, Andrew M., and Hope R. Barrett, eds. Proceedings: Spatial analysis and forest pest management. U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1993. http://dx.doi.org/10.2737/ne-gtr-175.

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Read, Andrew, Patrick Halpin, Benjamin Best, et al. Predictive Spatial Analysis of Marine Mammal Habitats. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada520623.

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Harrell, Krystle. Homelessness in Portland, Oregon: An Analysis of Homeless Campsite Spatial Patterns and Spatial Relationships. Portland State University Library, 2000. http://dx.doi.org/10.15760/geogmaster.24.

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