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Academic literature on the topic 'Spatial Intelligence'

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Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Spatial Intelligence"

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Yani, Ahmad, Asep Mulyadi, and Mamat Ruhimat. "CONTEXTUALIZATION OF SPATIAL INTELLIGENCE: CORRELATION BETWEEN SPATIAL INTELLIGENCE, SPATIAL ABILITY, AND GEOGRAPHY SKILLS." Journal of Baltic Science Education 17, no. 4 (August 20, 2018): 564–75. http://dx.doi.org/10.33225/jbse/18.17.564.

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This research attempted to find whether spatial intelligence (without context) has a correlation to (contextual) spatial ability and affects geographic skills as crystallized ability (Gc). It employed the descriptive method with subjects including students at the primary, junior high, and senior high schools. The data were collected through two instruments, namely test and questionnaire. Data of test results were processed by tabulation technique and correlated for the scores of spatial intelligence, spatial ability, and geographic skills. The results show that spatial intelligence (Gf) tended to increase from the level of primary to junior high and to senior high school level, whereas spatial ability (Gc) and geographic skills (Geo-s) tended to decrease. Despite the decline, all three (Gf, Gc, and Geo-s) had the potentials for improvement. Thus, geography teachers are encouraged to participate in improving students’ spatial and geographic skills, so students can develop their potentials optimally for geographic skills and future career development. Keywords: contextualization, crystallized intelligence, geographic skills, spatial intelligence, intelligence and skill correlation.
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Al Hosni, Afraa Ali, and Rayya Salim Al-Manthari. "Multiple Intelligences among Ninth-Grade Students in the Sultanate of Oman." World Journal of Education 11, no. 2 (April 16, 2021): 15. http://dx.doi.org/10.5430/wje.v11n2p15.

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This study aimed to examine the multiple intelligences among the ninth-grade students in the North Al Batinah Governorate in the Sultanate of Oman. The study sample contained 112 randomly selected students. For the purposes of this study, the researchers designed two multiple intelligences scales, consisting of the eight types of intelligences: linguistic-verbal, visual-spatial, logical-mathematical, interpersonal, naturalistic, bodily-kinesthetic, intrapersonal, and rhythm-musical. Each type of intelligence includes 8 descriptive items, with a total of 64 items for the whole scale. The results showed that the first, second, and third ranks came in favor of interpersonal intelligence, mathematical-logical, and visual-spatial, respectively, among students in general, whereas the results also revealed that interpersonal intelligence, logical-mathematical, and naturalistic were ranked in the first three ranks among male students. The interpersonal intelligence, visual-spatial intelligence, and the mathematical-logic intelligence were ranked in the first three places, respectively, among the female students. The results showed there are statistically significant differences at the 0.05 significance level between the arithmetic means of students in multiple intelligences due to the gender variable in favor of women in each of the visual-spatial and intrapersonal intelligences. Based on the findings of the study, a number of recommendations were proposed, most notably the following: Applying multiple intelligences scales at the beginning of each academic year, classifying students according to their intelligence to build and implement lesson plans in light of these classifications, preparing educational curricula in light of students’ multiple intelligences to take into account the differences between them, diversifying the learning environments according to the intelligence differences among students, conducting diagnostic studies for the prevalent multiple intelligences among all students in all classes and educational stages, and engaging in studies that test the effectiveness of employing the theory of multiple intelligences and its educational applications in developing language and intrapersonal skills and enhancing academic achievement.
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Gholam-Shahbazi, Hassti. "The Relationship between Spatial and Musical Intelligences and EFL Learners’ Learning Styles and Vocabulary Knowledge." Journal of Language Teaching and Research 10, no. 4 (July 1, 2019): 747. http://dx.doi.org/10.17507/jltr.1004.09.

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This study investigated the relationship between spatial and musical intelligences and learning styles of EFL learners and their vocabulary knowledge. Accordingly, relationship between spatial intelligence, musical intelligence and vocabulary knowledge, visual learning style, auditory learning style, and kinesthetic learning style with vocabulary knowledge, listening and vocabulary knowledge, and finally spatial, musical intelligence, visual, auditory kinesthetic learning style as independent variables and vocabulary knowledge s dependent variable was examined. This study is an experimental and applied research using four texts to specify participants intelligence their learning styles, vocabulary knowledge and listening knowledge. For this reason, four texts including MIDAS Test of Shearer (1996) the Persian of Spatial, and Musical Intelligence VAK Learning Style Test (Visual, Auditory, Kinesthetic), Vocabulary Levels Test of Nation (2001) One listening Test from the IELTS 5 book were applied. In this study, 200 Iranian senior BA EFL learners from Islamic Azad Universities of Tehran, Male and Female, 22 to 30 years old, majoring in TEFL were examined. Result of data analysis showed that there is a significant relationship between spatial and musical intelligences and learning styles of Iranian EFL learners and their vocabulary knowledge. Also, multiple intelligence plays a significant role in learning vocabulary, as the nature of intelligence represents this issue and shows that learning is a psychological issue and human’s different aspects of learning depends of different aspect of intelligence.
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Eliot, John. "About Spatial Intelligence: I." Perceptual and Motor Skills 94, no. 2 (April 2002): 479–86. http://dx.doi.org/10.2466/pms.2002.94.2.479.

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Husnah, Ziadatul. "MULTIPLE INTELLIGENCE BASED-EDUCATION Mewujudkan Indonesia sebagai Bangsa Para Juara." Al-Mudarris (Jurnal Ilmiah Pendidikan Islam) 1, no. 2 (April 8, 2019): 51–65. http://dx.doi.org/10.23971/mdr.v1i2.1030.

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This article discusses on the urgence of multiple intelligences-based education. In education, the multiple intelligences approach is very relevant to the spirit of education as a process of humanizing human being. Everyone should be served individually because he/she has different potential. Therefore, indicator of achievement is depended on the individual uniqueness. There is no single indicator on achievement. The multiple intelligences highlightes there are nine kinds of intelligence, namely linguistic intelligence, logical-mathematical intelligence, rythmic-musical intelligence, visual-spatial intelligence, bodily-kinesthetic intelligence, intrapersonal intelligence, interpersonal intelligence, natural intelligence, and existential intelligence. Through this approach, the educational process should be able to produce many champions suitable of each potential
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Mujib, Mujib. "Penjenjangan Kemampuan Berpikir Kritis Matematis Berdasarkan Teori Bloom Ditinjau Dari Kecerdasan Multiple Intelligences." Desimal: Jurnal Matematika 2, no. 1 (January 31, 2019): 87–103. http://dx.doi.org/10.24042/djm.v2i1.3534.

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This study aims to see how the mathematical model of critical thinking skills is based on Bloom theory in terms of Multiple Intelligences intelligence, namely Students have Linguistic Intelligences, Logical-Mathematical and Spatial Intelligence Intelligence. The research method used is descriptive qualitative. Subjects taken in this study were using purpose sampling techniques. Data collection techniques used are tests, questionnaires, observation and interviews. Data analysis was carried out in a qualitative descriptive manner. Each Multiple Intelligences intelligence is capable of observing, understanding, applying, analyzing, evaluating and creating. Based on the tests and interviews the characteristics seen are at the stage of observing, understanding and applying. Not able to analyze, evaluate and be creative. Students who have a tendency to Linguistic Intelligence Intelligence processes the process of critical thinking mathematically has the stages of Lower Order Thinking (LOT). Students who have Spatial Intelligence Intelligence stages of critical thinking skills are mathematical, namely at the stage of observing, understanding, applying analysis and evaluation. At the stage of creation, the characteristics of students are not able. Students who have a tendency for Spatial Intelligence intelligence in the process of mathematical critical thinking skills at the level of Middle Order Thinking (MOT). Students who have the type of Logical-mathematical Intelligence Intelligence stage of critical thinking ability that is the stage of observing, understanding, applying, analyzing, evaluating, and developing. Students who have the type of Logical-mathematical Intelligence tendencies in the process of mathematical critical thinking abilities at the stages of Higher Order Thinking (HOT).
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Aydoğan, Hakan, and Azamat Akbarov. "SUBJECTIVE ASSESSMENTS OF MULTIPLE INTELLIGENCES AMONG BOSNIAN AND TURKISH STUDENTS." Problems of Education in the 21st Century 67, no. 1 (October 25, 2015): 7–16. http://dx.doi.org/10.33225/pec/15.67.07.

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General intelligence is a good predictor of academic achievement. However, according to Howard Gardner, there are several types of intelligence. They have to be considered in the educational context because education requires various skills and abilities to be employed so that students could be successful. The main aim of our study was to examine subjective assessments of multiple intelligences among adolescents as well as to investigate possible gender differences. The questionnaire called ''Subjective assessment of multiple intelligences'' (SAMI) was applied, which serves us to collect data from the targeted sample of 162 participants in Bosnia and Herzegovina. Firstly, the results showed non-significant gender differences. Secondly, only verbal/linguistic ability significantly correlated with the age of participants. Lastly, almost all correlational coefficients calculated between different types of intelligence were statistically significant. For example, subjective assessment of logical/ mathematical intelligence correlated with intrapersonal abilities/skills, verbal/linguistic intelligence correlated with visual/spatial intelligence, and musical abilities correlated with visual/spatial intelligence as well. Key words: multiple intelligences, subjective assessment, gender differences, Bosnian students.
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Astuti, Juli. "RAHASIA MULTIPLE INTELLIGENCE PADA ANAK." Journal ISTIGHNA 1, no. 2 (July 25, 2018): 37–61. http://dx.doi.org/10.33853/istighna.v1i2.3.

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In educational institutions, parents, teachers and the public often assume that intelligence can only be seen through academic scores and formal test results such as getting a high score or being ranked in a class. This conception is outdated and superficial. In this era of globalization where educational practitioners are exploring the concept of Multiple Intelligences. Multiple Intelligences as a broad concept of intelligence and has undergone several changes due to the emergence of the theory of multiple intelligences proposed by a psychologist from Harvard University. Intelligence is not limited to formal tests, it's a multidimensional and one's discovery process of competence. Multiple Intelligences is a theory of intelligence pioneered by a psychologist from Harvard University who shows that everyone is intelligent and tends to have intelligence among the ten dimensions of intelligence. In Islam (al Qur'an) multiple intelligences is actually already put forward various developments about intelligence and various human potential. There are ten dimensions of intelligence put forward by Hardward Gardner namely linguistic intelligence, logical-mathematical intelligence, visual-spatial intelligence, kinesthetic-physical-kinesthetic, musical intelligence, interpersonal intelligence, intrapersonal intelligence, naturalistic, existential and emotional intelligence
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Zahedi, Saeed, and Elham Mottaghi Moghaddam. "The Relationship between Multiple Intelligences and Performance of EFL Students in Different Forms of Reading Comprehension Tests." Theory and Practice in Language Studies 6, no. 10 (October 1, 2016): 1929. http://dx.doi.org/10.17507/tpls.0610.06.

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The major aim of this study was to investigate the relationship between Multiple Intelligences (MI) scores and the performance of Iranian EFL students on different forms of reading comprehension tests. To this aim, 90 learners of English from Parax Institute of Science and Technology (Mashhad Branch) were selected. They were asked to complete MIDAS multiple intelligences questionnaire and a reading test, which included two tests formats (multiple-choice and cloze test). The result of the correlational study indicated that the total MI score correlated positively with performance on multiple-choice and cloze test. Out of its 8 sub-intelligences linguistic, intrapersonal, spatial, and mathematical intelligence correlated positively with multiple-choice test of reading. Performance on cloze test correlated positively with linguistic, spatial, and mathematical intelligence. The results of regression equations also showed that MI scores predict both the performance on multiple-choice and cloze test. Out of its sub-intelligences, linguistic intelligence and musical intelligence predict performance on multiple-choice questions and linguistic intelligence predicts performance on cloze test.
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Zhang, Chenfeng, Shuming Bao, Bing She, Xinyan Zhu, and Xu Zhang. "Spatial Intelligence for Regional Analysis." International Journal of Applied Geospatial Research 5, no. 2 (April 2014): 59–73. http://dx.doi.org/10.4018/ijagr.2014040105.

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With the announcement of open information policy by the Chinese government, there has been lots of development in government statistics, Census data, and GIS data. That information provides rich reference for regional analysis in China. The primary challenges under rapid data growth include how to efficiently integrate those space-time data, provide methodology for different research targets, and promote their applications in different fields. This report will present some recent developments of spatial intelligence technologies for spatial data integration, data analysis, as well as their applications. The report will introduce the newly developed spatial explorer (China Geo-Explorer) as a joint effort by the University of Michigan China Data Center and Wuhan University. It will demonstrate how space-time data of different formats and sources can be integrated, visualized, analyzed and reported in a web based system. Some applications in disaster assessment, environment and health, cultural and religious studies will be discussed for China and global studies.
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Dissertations / Theses on the topic "Spatial Intelligence"

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Martin, Romain. "Encodage spatial et intelligence." Nancy 2, 1998. http://www.theses.fr/1998NAN21014.

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La thèse est organisée en deux parties. Une première partie présente la littérature consacrée à l'étude de la cognition spatiale. Cette présentation s'inscrit dans une approche interdisciplinaire (psychologie, neurophysiologie, sciences de l'information, éthologie, philosophie). Il est notamment analysé comment les différences interindividuelles en cognition spatiale sont décrites par ces différentes disciplines. Une attention particulière sera donnée à des différences qualitatives de traitement, c'est-à-dire aux stratégies mises en oeuvre pour réaliser des traitements visuo-spatiaux. On analysera également les différences dans la qualité des représentations construites à partir d'une exploration d'un espace tridimensionnel. Il sera essayé de dresser un cadre interprétatif intégratif des différences constatées sur la base de la théorie neurologiquement plausible de Kosslyn introduisant la distinction entre un subsystème catégoriel et métrique pour l'encodage des relations spatiales. L'hypothèse est émise que l'efficacité de fonctionnement de ces subsystèmes peut constituer un élément explicatif important pour les différences interindividuelles en cognition spatiale. Dans la deuxième partie, on présentera 4 expériences impliquant la mesure de la qualité de l'encodage spatial à l'aide de dispositifs sur support informatique. Un de ces dispositifs est plus spécialement destiné à évaluer la précision de l'encodage spatial et montre la stabilité des différences interindividuelles constatées, ainsi que la relation entre précision d'encodage et performance à des épreuves de type papier-crayon. Il s'avère que cette dernière relation est importante, surtout en ce qui concerne les facteurs spatial et général. Une épreuve d'exploration d'un espace virtuel en 3D permet en plus d'évaluer l'impact de la précision de l'encodage spatial sur l'efficacité de déplacement. Les résultats sont interprétés dans le cadre neurologiquement plausible de la théorie de Kosslyn
The dissertation is organized in two parts. The first part presents the literature concerning the study of spatial cognition. This representation adopts an interdisciplinary approach (psychology, neurophysiology, information sciences, ethology, philosophy). Of special interest are interindividual differences in spatial cognition as described by these disciplines. Particular attention is payed to qualitative processing differences, i. E. Different strategies for processing of visuo-spatial information. Individual differences in the quality of representations constructed from navigation in a threedimensional space are also analysed. The attempt is made to create an integrative framework of interpretation for the described differences on the basis of the neurologically plausible theory of Kosslyn introducing the distinction between categorical and metric spatial relations encoding. The hypothesis is made that the efficiency of these subsystems may represent an important element in the explanation of interindividual differences in spatial cognition. In the second part, 4 experiences are presented which imply the measurement of the quality of spatial relations encoding with computer-assisted tests. One of these tests measures specifically the precision of spatial relations encoding and shows stability of individual differences, as well as the relation between spatial relations encoding precision and performance on paper and pencil tests. This relation seems important, especially with the spatial and general factors of intelligence. A navigation test in a virtual environment furthermore permits to evaluate the influence of spatial relations encoding precision on wayfinding performance. Results are interpreted in the framework of Kosslyn's neurologically plausible theory of visuo-spatial information processing
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Sandhu, Raghbir Singh. "Intelligent spatial decision support systems." Thesis, University College London (University of London), 1998. http://discovery.ucl.ac.uk/1317911/.

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This thesis investigates the conceptual and methodological issues for the development of Intelligent Spatial Decision Support Systems (ISDSS). These are spatial decision support systems (SDSS) integrating intelligent systems techniques (Genetic Algorithms, Neural Networks, Expert Systems, Fuzzy Logic and Nonlinear methods) with traditional modelling and statistical methods for the analysis of spatial problems. The principal aim of this work is to verify the feasibility of heterogeneous systems for spatial decision support derived from a combination of traditional numerical techniques and intelligent techniques in order to provide superior performance and functionality to that achieved through the use of traditional methods alone. This thesis is composed of four distinct sections: (i) a taxonomy covering the employment of intelligent systems techniques in specific applications of geographical information systems and SDSS; (ii) the development of a prototype ISDSS; (iii) application of the prototype ISDSS to modelling the spatiotemporal dynamics of high technology industry in the South-East of England; and (iv) the development of ISDSS architectures utilising interapplication communication techniques. Existing approaches for implementing modelling tools within SDSS and GIS generally fall into one of two schemes - loose coupling or tight coupling - both of which involve a tradeoff between generality and speed of data interchange. In addition, these schemes offer little use of distributed processing resources. A prototype ISDSS was developed in collaboration with KPMG Peat Marwick's High Technology Practice as a general purpose spatiotemporal analysis tool with particular regard to modelling high technology industry. The GeoAnalyser system furnishes the user with animation and time plotting tools for observing spatiotemporal dynamics; such tools are typically not found in existing SDSS or GIS. Furthermore, GeoAnalyser employs the client/server model of distributed computing to link the front end client application with the back end modelling component contained within the server application. GeoAnalyser demonstrates a hybrid approach to spatial problem solving - the application utilises a nonlinear model for the temporal evolution of spatial variables and a genetic algorithm for calibrating the model in order to establish a good fit for the dataset under investigation. Several novel architectures are proposed for ISDSS based on existing distributed systems technologies. These architectures are assessed in terms of user interface, data and functional integration. Implementation issues are also discussed. The research contributions of this work are four-fold: (i) it lays the foundation for ISDSS as a distinct type of system for spatial decision support by examining the user interface, performance and methodological requirements of such systems; (ii) it explores a new approach for linking modelling techniques and SDSS; (iii) it investigates the possibility of modelling high technology industry; and (iv) it details novel architectures for ISDSS based on distributed systems.
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Kempster, Kurt A. "Frame rate effects on human spatial perception in video intelligence." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA382287.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, Sept. 2000.
"September 2000." Thesis advisor(s): Darken, Rudolph P.; Brady, Terrance C. Includes bibliographical references (p. 77-78). Also available online.
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Heil, Phillip J. "Spatial based learning force controller for a robotic manipulator." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/16612.

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Stocky, Thomas A. (Thomas August) 1978. "Conveying routes : multimodal generation and spatial intelligence in embodied conversational agents." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87833.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (leaves 38-40).
by Thomas A. Stocky.
M.Eng.
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Hong, Tao. "Long-Term Spatial Load Forecasting Using Human-Machine Co-construct Intelligence Framework." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-10212008-105450/.

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This thesis presents a formal study of the long-term spatial load forecasting problem: given small area based electric load history of the service territory, current and future land use information, return forecast load of the next 20 years. A hierarchical S-curve trending method is developed to conduct the basic forecast. Due to uncertainties of the electric load data, the results from the computerized program may conflict with the nature of the load growth. Sometimes, the computerized program is not aware of the local development because the land use data lacks such information. A human-machine co-construct intelligence framework is proposed to improve the robustness and reasonability of the purely computerized load forecasting program. The proposed algorithm has been implemented and applied to several utility companies to forecast the long-term electric load growth in the service territory and to get satisfying results.
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Papadopoulos, Georgios. "Towards a 3D building reconstruction using spatial multisource data and computational intelligence techniques." Thesis, Limoges, 2019. http://www.theses.fr/2019LIMO0084/document.

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La reconstruction de bâtiments à partir de photographies aériennes et d’autres données spatiales urbaines multi-sources est une tâche qui utilise une multitude de méthodes automatisées et semi-automatisées allant des processus ponctuels au traitement classique des images et au balayage laser. Dans cette thèse, un système de relaxation itératif est développé sur la base de l'examen du contexte local de chaque bord en fonction de multiples sources d'entrée spatiales (masques optiques, d'élévation, d'ombre et de feuillage ainsi que d'autres données prétraitées, décrites au chapitre 6). Toutes ces données multisource et multirésolution sont fusionnées de manière à extraire les segments de ligne probables ou les arêtes correspondant aux limites des bâtiments. Deux nouveaux sous-systèmes ont également été développés dans cette thèse. Ils ont été conçus dans le but de fournir des informations supplémentaires, plus fiables, sur les contours des bâtiments dans une future version du système de relaxation proposé. La première est une méthode de réseau de neurones à convolution profonde (CNN) pour la détection de frontières de construction. Le réseau est notamment basé sur le modèle SRCNN (Dong C. L., 2015) de super-résolution à la pointe de la technologie. Il accepte des photographies aériennes illustrant des données de zones urbaines densément peuplées ainsi que leurs cartes d'altitude numériques (DEM) correspondantes. La formation utilise trois variantes de cet ensemble de données urbaines et vise à détecter les contours des bâtiments grâce à une nouvelle cartographie hétéroassociative super-résolue. Une autre innovation de cette approche est la conception d'une couche de perte personnalisée modifiée appelée Top-N. Dans cette variante, l'erreur quadratique moyenne (MSE) entre l'image de sortie reconstruite et l'image de vérité de sol (GT) fournie des contours de bâtiment est calculée sur les 2N pixels de l'image avec les valeurs les plus élevées. En supposant que la plupart des N pixels de contour de l’image GT figurent également dans les 2N pixels supérieurs de la reconstruction, cette modification équilibre les deux catégories de pixels et améliore le comportement de généralisation du modèle CNN. Les expériences ont montré que la fonction de coût Top-N offre des gains de performance par rapport à une MSE standard. Une amélioration supplémentaire de la capacité de généralisation du réseau est obtenue en utilisant le décrochage. Le deuxième sous-système est un réseau de convolution profonde à super-résolution, qui effectue un mappage associatif à entrée améliorée entre les images d'entrée à basse résolution et à haute résolution. Ce réseau a été formé aux données d’altitude à basse résolution et aux photographies urbaines optiques à haute résolution correspondantes. Une telle différence de résolution entre les images optiques / satellites optiques et les données d'élévation est souvent le cas dans les applications du monde réel
Building reconstruction from aerial photographs and other multi-source urban spatial data is a task endeavored using a plethora of automated and semi-automated methods ranging from point processes, classic image processing and laser scanning. In this thesis, an iterative relaxation system is developed based on the examination of the local context of each edge according to multiple spatial input sources (optical, elevation, shadow & foliage masks as well as other pre-processed data as elaborated in Chapter 6). All these multisource and multiresolution data are fused so that probable line segments or edges are extracted that correspond to prominent building boundaries.Two novel sub-systems have also been developed in this thesis. They were designed with the purpose to provide additional, more reliable, information regarding building contours in a future version of the proposed relaxation system. The first is a deep convolutional neural network (CNN) method for the detection of building borders. In particular, the network is based on the state of the art super-resolution model SRCNN (Dong C. L., 2015). It accepts aerial photographs depicting densely populated urban area data as well as their corresponding digital elevation maps (DEM). Training is performed using three variations of this urban data set and aims at detecting building contours through a novel super-resolved heteroassociative mapping. Another innovation of this approach is the design of a modified custom loss layer named Top-N. In this variation, the mean square error (MSE) between the reconstructed output image and the provided ground truth (GT) image of building contours is computed on the 2N image pixels with highest values . Assuming that most of the N contour pixels of the GT image are also in the top 2N pixels of the re-construction, this modification balances the two pixel categories and improves the generalization behavior of the CNN model. It is shown in the experiments, that the Top-N cost function offers performance gains in comparison to standard MSE. Further improvement in generalization ability of the network is achieved by using dropout.The second sub-system is a super-resolution deep convolutional network, which performs an enhanced-input associative mapping between input low-resolution and high-resolution images. This network has been trained with low-resolution elevation data and the corresponding high-resolution optical urban photographs. Such a resolution discrepancy between optical aerial/satellite images and elevation data is often the case in real world applications. More specifically, low-resolution elevation data augmented by high-resolution optical aerial photographs are used with the aim of augmenting the resolution of the elevation data. This is a unique super-resolution problem where it was found that many of -the proposed general-image SR propositions do not perform as well. The network aptly named building super resolution CNN (BSRCNN) is trained using patches extracted from the aforementioned data. Results show that in comparison with a classic bicubic upscale of the elevation data the proposed implementation offers important improvement as attested by a modified PSNR and SSIM metric. In comparison, other proposed general-image SR methods performed poorer than a standard bicubic up-scaler.Finally, the relaxation system fuses together all these multisource data sources comprising of pre-processed optical data, elevation data, foliage masks, shadow masks and other pre-processed data in an attempt to assign confidence values to each pixel belonging to a building contour. Confidence is augmented or decremented iteratively until the MSE error fails below a specified threshold or a maximum number of iterations have been executed. The confidence matrix can then be used to extract the true building contours via thresholding
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Brennan, Jane Computer Science &amp Engineering Faculty of Engineering UNSW. "A framework for modelling spatial proximity." Publisher:University of New South Wales. Computer Science & Engineering, 2009. http://handle.unsw.edu.au/1959.4/43311.

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The concept of proximity is an important aspect of human reasoning. Despite the diversity of applications that require proximity measures, the most intuitive notion is that of spatial nearness. The aim of this thesis is to investigate the underpinnings of the notion of nearness, propose suitable formalisations and apply them to the processing of GIS data. More particularly, this work offers a framework for spatial proximity that supports the development of more intuitive tools for users of geographic data processing applications. Many of the existing spatial reasoning formalisms do not account for proximity at all while others stipulate it by using natural language expressions as symbolic values. Some approaches suggest the association of spatial relations with fuzzy membership grades to be calculated for locations in a map using Euclidean distance. However, distance is not the only factor that influences nearness perception. Hence, previous work suggests that nearness should be defined from a more basic notion of influence area. I argue that this approach is flawed, and that nearness should rather be defined from a new, richer notion of impact area that takes both the nature of an object and the surrounding environment into account. A suitable notion of nearness considers the impact areas of both objects whose degree of nearness is assessed. This is opposed to the common approach of only taking one of both objects, seen as a reference to assess the nearness of the other to it, into consideration. Cognitive findings are incorporated to make the framework more relevant to the users of Geographic Information Systems (GIS) with respect to their own spatial cognition. GIS users bring a wealth of knowledge about physical space, particularly geographic space, into the processing of GIS data. This is taken into account by introducing the notion of context. Context represents either an expert in the context field or information from the context field as collated by an expert. In order to evaluate and to show the practical implications of the framework, experiments are conducted on a GIS dataset incorporating expert knowledge from the Touristic Road Travel domain.
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Almeida, Dominique D'. "Etude de systèmes de contraintes pour le raisonnement qualitatif temporel et spatial." Thesis, Artois, 2010. http://www.theses.fr/2010ARTO0411/document.

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La modélisation et la résolution de problèmes sous contraintes constituent un domaine majeur enIA. Par la nature diverse des contraintes, différents formalismes de représentation ont été proposés pour les exprimer de manière simple et compacte tout en garantissant une efficacité des outils de résolutions associés. Les formules propositionnelles, les réseaux de contraintes discrets (RCD) et qualitatives (RCQ) sont des cadres de modélisation répondant à ces critères. Pour les informations temporelles ou spatiales, les RCQ constituent un modèle de choix avec de nombreuses applications comme l’ordonnancement de tâches, la planification temporelle ou spatiale, les systèmes d’informations géographiques. Nos contributions visent à étudier les liens des RCQ vers les RCD et les formules propositionnelles, afin d’adapter les outils issus des divers domaines et de proposer de nouvelles approches. Tout d’abord, nous nous concentrons sur l’aspect structurel des RCQ, en adaptant la méthode de la composition faible dans les différents cadres. Nous exploitons ensuite les propriétés des classes traitables de certains formalismes qualitatifs, afin de définir une transformation vers la logique propositionnelle. En exploitant la transformation vers les RCD, nous proposons une méthode incomplète facilitant la preuve de l’incohérence des RCQ par la relaxation de la propriété de composition faible, puis nous complétons l’approche en exploitant les classes traitables. Enfin, ces études nous conduisent à proposer une nouvelle forme de substituabilité locale, dont les détections statique et dynamique permettent d’obtenir une amélioration algorithmique dans le cadre des RCD
Modelling and solving constraints problems is a major domain in Artificial Intelligence. By the various natures of the constraints, different formalisms were proposed to express them in a simple andcompact way while guaranteeing the effectiveness of the associated solution tools. Propositional formulae, discrete constraint networks (DCNs), and qualitative constraint networks (QCNs) are the well known frameworks that guaranty these requirements. For temporal or space information, QCNs constitute a model of choice with many real world applications such as scheduling, temporal or spatial planning and geographic information systems. Our contributions aim at studying the links between QCNs, DCNs and propositional formulas, in order to adapt the tools developed in these fields and to propose new approaches. First of all, we focus on the structural aspects of QCNs, by transforming weak composition within the various frameworks. In order to define a transformation towards propositional logic we then exploit the properties of tractable classes of some qualitative formalism. Exploiting the transformation towards DCNs, we propose an incomplete method simplifying the proof of the inconsistency for QCNs by relaxing the weak composition property. Then, we propose a complete approach thanks to tractable classes. Finally, these studies lead us to propose a new form of local substitutability, whose static and dynamic detections significantly improve search algorithms for DCNs
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Rogers, Judith Ann. "Understanding spatial intelligence through problem-solving in art: An analysis of behaviors, processes, and products." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186422.

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Gardner (1985) defines intelligence broadly as the ability to solve problems and create products as well as to find or create new problems. He also suggests that every normal individual has the capacity to develop abilities in seven different areas or types of intelligence. Maker (1992, in press) hypothesizes that gifted individuals competently solve problems of all types, that is, problems ranging from well-defined to ill-defined. In this study of spatial intelligence, the theories of both researchers were tested. The primary purpose of the study was to describe behaviors that could be observed, processes subjects reported using, and characteristics of products subjects created as they solved the series of spatial problems. A secondary purpose of the study was to determine if careful observation of processes subjects employed, combined with the subject's report of processes used and an evaluation of products produced could, indeed, paint a clear picture of the subject's spatial abilities. Six research questions guided the study. The three primary areas of investigation were (a) the similarities and/or differences of behaviors observed, processes reported, and characteristics of products across tasks for individual subjects, (b) the similarities and/or differences of behaviors observed, processes reported, and characteristics of products across subjects for each task, and (c) the similarities and/or differences of behaviors observed, processes reported, and characteristics of products to Gardner's description of spatial intelligence. The researcher delineated eight broad categories of observed behaviors, two broad categories of processes reported, and nine characteristics of finished products. She noted both similarities and differences in behaviors, processes, and products across subjects for tasks and across tasks for subjects. Subjects reported that they used processes similar to those described by Gardner (1985); Gardner does not establish behaviors that can be observed as subjects solve spatial problems, nor does he clearly establish characteristics that might be included in products subjects created. Therefore, the behaviors noted and the characteristics of products created by the subjects in this study allowed the researcher to further define spatial intelligence. (Abstract shortened by UMI.)
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Books on the topic "Spatial Intelligence"

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Ness, Daniel, Stephen J. Farenga, and Salvatore G. Garofalo. Spatial Intelligence. New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315724515.

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Meng, Xiaofeng, Xing Xie, Yang Yue, and Zhiming Ding, eds. Spatial Data and Intelligence. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69873-7.

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Pan, Gang, Hui Lin, Xiaofeng Meng, Yunjun Gao, Yong Li, Qingfeng Guan, and Zhiming Ding, eds. Spatial Data and Intelligence. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85462-1.

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Yuan, Hanning, Jing Geng, and Fuling Bian, eds. Geo-Spatial Knowledge and Intelligence. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3966-9.

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Yuan, Hanning, Jing Geng, and Fuling Bian, eds. Geo-Spatial Knowledge and Intelligence. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3969-0.

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Yuan, Hanning, Jing Geng, Chuanlu Liu, Fuling Bian, and Tisinee Surapunt, eds. Geo-Spatial Knowledge and Intelligence. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0893-2.

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Yuan, Hanning, Jing Geng, Chuanlu Liu, Fuling Bian, and Tisinee Surapunt, eds. Geo-Spatial Knowledge and Intelligence. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0896-3.

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Robert, Lloyd. Spatial Cognition: Geographic Environments. Dordrecht: Springer Netherlands, 1997.

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Stock, Oliviero. Spatial and Temporal Reasoning. Dordrecht: Springer, 1997.

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Coventry, Kenny R. Spatial Language: Cognitive and Computational Perspectives. Dordrecht: Springer Netherlands, 2002.

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Book chapters on the topic "Spatial Intelligence"

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Levi, Jason. "Spatial Intelligence." In Encyclopedia of Child Behavior and Development, 1419. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_2751.

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Zimmerman, Amy E., and Raymond S. Dean. "Visual-Spatial Intelligence." In Encyclopedia of Child Behavior and Development, 1548–49. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_3041.

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Shekhar, Shashi, and Hui Xiong. "Ambient Spatial Intelligence." In Encyclopedia of GIS, 19. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_50.

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Hoch, Charles. "Emotional Intelligence in Planning Judgment." In Pragmatic Spatial Planning, 17–36. New York : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429021275-3.

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Bhattacharjee, Shrutilipi, Soumya Kanti Ghosh, and Jia Chen. "Spatial Interpolation." In Studies in Computational Intelligence, 19–41. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8664-0_2.

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Bhattacharjee, Shrutilipi, Soumya Kanti Ghosh, and Jia Chen. "Spatial Semantic Kriging." In Studies in Computational Intelligence, 43–71. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8664-0_3.

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Das, Monidipa, and Soumya K. Ghosh. "Spatial Bayesian Network." In Studies in Computational Intelligence, 53–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27749-9_4.

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Tewdwr-Jones, Mark. "Fluid Spatial Planning as Strategic Intelligence." In Spatial Planning and Governance, 228–45. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-01663-8_10.

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Zhao, Bo, Shaozeng Zhang, Chunxu Xu, and Xiaobai Liu. "Spoofing in Geography: Can We Trust Artificial Intelligence to Manage Geospatial Data?" In Spatial Synthesis, 325–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52734-1_19.

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Guesgen, Hans W. "Towards hybrid spatial reasoning." In Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems, 197–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62474-0_15.

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Conference papers on the topic "Spatial Intelligence"

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Zhang, Xu, Shuming Bao, Xinyan Zhu, and Kehua Su. "Spatial intelligence with spatial statistics." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567727.

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She, Bing, Xinyan Zhu, and Shuming Bao. "Spatial data integration and analysis with spatial intelligence." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567628.

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Ji, Genlin, Jianxin Miao, and Peiming Bao. "A Spatial Clustering Algorithm Based on Spatial Topological Relations for GML Data." In 2009 International Conference on Artificial Intelligence and Computational Intelligence. IEEE, 2009. http://dx.doi.org/10.1109/aici.2009.291.

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Kurup, Unmesh, and Nicholas L. Cassimatis. "Quantitative Spatial Reasoning for General Intelligence." In 3d Conference on Artificial General Intelligence (AGI-10). Paris, France: Atlantis Press, 2010. http://dx.doi.org/10.2991/agi.2010.4.

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Ge, Xiaosan, Xuehua Zhu, and Keke Xu. "Swarm intelligence and spatial information process." In Sixth International Conference on Advanced Optical Materials and Devices, edited by Lin Liu, Xia Li, Kai Liu, Xinchang Zhang, and Aijun Chen. SPIE, 2008. http://dx.doi.org/10.1117/12.812559.

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Garg, Sourav, Tobias Fischer, and Michael Milford. "Where Is Your Place, Visual Place Recognition?" In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/603.

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Visual Place Recognition (VPR) is often characterized as being able to recognize the same place despite significant changes in appearance and viewpoint. VPR is a key component of Spatial Artificial Intelligence, enabling robotic platforms and intelligent augmentation platforms such as augmented reality devices to perceive and understand the physical world. In this paper, we observe that there are three "drivers" that impose requirements on spatially intelligent agents and thus VPR systems: 1) the particular agent including its sensors and computational resources, 2) the operating environment of this agent, and 3) the specific task that the artificial agent carries out. In this paper, we characterize and survey key works in the VPR area considering those drivers, including their place representation and place matching choices. We also provide a new definition of VPR based on the visual overlap - akin to spatial view cells in the brain - that enables us to find similarities and differences to other research areas in the robotics and computer vision fields. We identify several open challenges and suggest areas that require more in-depth attention in future works.
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Conti, Claudio, Davide Pierangeli, and Giulia Marcucci. "Spatial ising machines." In Emerging Topics in Artificial Intelligence 2020, edited by Giovanni Volpe, Joana B. Pereira, Daniel Brunner, and Aydogan Ozcan. SPIE, 2020. http://dx.doi.org/10.1117/12.2565966.

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She, Bing, Xinyan Zhu, and Shuming Bao. "Urban and Regional Explorer with spatial intelligence." In 2011 19th International Conference on Geoinformatics. IEEE, 2011. http://dx.doi.org/10.1109/geoinformatics.2011.5981002.

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Hawick, K. A., and C. J. Scogings. "Emergent Spatial Agent Segregation." In 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2008. http://dx.doi.org/10.1109/wiiat.2008.211.

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Liu, Ying-chun, and Dong-he Yang. "A Spatial Restricted Heuristic Algorithm of Shortest Path." In 2009 International Conference on Artificial Intelligence and Computational Intelligence. IEEE, 2009. http://dx.doi.org/10.1109/aici.2009.160.

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Reports on the topic "Spatial Intelligence"

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Bradshaw, Gary, and J. M. Giesen. Dynamic Measures of Spatial Ability, Executive Function, and Social Intelligence. Fort Belvoir, VA: Defense Technical Information Center, March 2003. http://dx.doi.org/10.21236/ada414704.

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Hofer, Martin, Tomas Sako, Arturo Martinez Jr., Mildred Addawe, Joseph Bulan, Ron Lester Durante, and Marymell Martillan. Applying Artificial Intelligence on Satellite Imagery to Compile Granular Poverty Statistics. Asian Development Bank, December 2020. http://dx.doi.org/10.22617/wps200432-2.

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This study outlines a computational framework to enhance the spatial granularity of government-published poverty estimates, citing data from the Philippines and Thailand. Computer vision techniques were applied on publicly available medium resolution satellite imagery, household surveys, and census data from the two countries. The results suggest that even using publicly accessible satellite imagery, predictions generally aligned with the distributional structure of government-published poverty estimates after calibration. The study further examines the robustness of the resulting estimates to user-specified algorithmic parameters and model specifications.
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Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand. Asian Development Bank, April 2021. http://dx.doi.org/10.22617/tcs210112-2.

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The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country’s population. This entails detailed, granular data on population groups that extend beyond national trends and averages. The Asian Development Bank (ADB), in collaboration with the National Statistical Office of Thailand and the Word Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand. This report documents the results of the study, providing insights on data collection requirements, advanced algorithmic techniques, and validation of poverty estimates using artificial intelligence to complement traditional data sources and conventional survey methods.
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