Relevant bibliographies by topics / Spatial representation

Academic literature on the topic 'Spatial representation'

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Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Spatial representation"

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SRIHARI, SARGUR N., and ZHIGANG XIANG. "SPATIAL KNOWLEDGE REPRESENTATION." International Journal of Pattern Recognition and Artificial Intelligence 03, no. 01 (March 1989): 67–84. http://dx.doi.org/10.1142/s0218001489000073.

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The use of spatial knowledge is necessary in a variety of artificial intelligence and expert systems applications. The need is not only in tasks with spatial goals such as image interpretation and robot motion, but also in tasks not involving spatial goals, e.g. diagnosis and language understanding. The paper discusses methods of representing spatial knowledge, with particular focus on the broad categories known as analogical and propositional representations. The problem of neurological localization is considered in some detail as an example of intelligent problem-solving that requires the use of spatial knowledge. Several solutions for the problem are presented: the first uses an analogical representation only, the second uses a propositional representation and the third uses an integrated representation. Conclusions about the different representations for building intelligent systems are drawn.
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McNamara, Timothy P. "Spatial representation." Geoforum 23, no. 2 (May 1992): 139–50. http://dx.doi.org/10.1016/0016-7185(92)90012-s.

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Fiantika, F. R., and S. P. Setyawati. "Representation, representational transformation and spatial reasoning hierarchical in spatial thinking." Journal of Physics: Conference Series 1321 (October 2019): 022056. http://dx.doi.org/10.1088/1742-6596/1321/2/022056.

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Jacobson, Lowell D., and Harry Wechsler. "Joint spatial/spatial-frequency representation." Signal Processing 14, no. 1 (January 1988): 37–68. http://dx.doi.org/10.1016/0165-1684(88)90043-6.

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Masser, Ian, and Peter J. B. Brown. "SPATIAL REPRESENTATION AND SPATIAL INTERACTION." Papers in Regional Science 38, no. 1 (January 14, 2005): 71–92. http://dx.doi.org/10.1111/j.1435-5597.1977.tb00992.x.

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Hayward, William G., and Michael J. Tarr. "Spatial language and spatial representation." Cognition 55, no. 1 (April 1995): 39–84. http://dx.doi.org/10.1016/0010-0277(94)00643-y.

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Yamada, Hiroshi. "Geary’s c and Spectral Graph Theory." Mathematics 9, no. 19 (October 3, 2021): 2465. http://dx.doi.org/10.3390/math9192465.

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Spatial autocorrelation, of which Geary’s c has traditionally been a popular measure, is fundamental to spatial science. This paper provides a new perspective on Geary’s c. We discuss this using concepts from spectral graph theory/linear algebraic graph theory. More precisely, we provide three types of representations for it: (a) graph Laplacian representation, (b) graph Fourier transform representation, and (c) Pearson’s correlation coefficient representation. Subsequently, we illustrate that the spatial autocorrelation measured by Geary’s c is positive (resp. negative) if spatially smoother (resp. less smooth) graph Laplacian eigenvectors are dominant. Finally, based on our analysis, we provide a recommendation for applied studies.
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De Hevia, Maria-Dolores, Luisa Girelli, Emanuela Bricolo, and Giuseppe Vallar. "The representational space of numerical magnitude: Illusions of length." Quarterly Journal of Experimental Psychology 61, no. 10 (October 2008): 1496–514. http://dx.doi.org/10.1080/17470210701560674.

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In recent years, a growing amount of evidence concerning the relationships between numerical and spatial representations has been interpreted, by and large, in favour of the mental number line hypothesis—namely, the analogue continuum where numbers are spatially represented (Dehaene, 1992; Dehaene, Piazza, Pinel, & Cohen, 2003). This numerical representation is considered the core of number meaning and, accordingly, needs to be accessed whenever numbers are semantically processed. The present study explored, by means of a length reproduction task, whether besides the activation of lateralized spatial codes, numerical processing modulates the mental representation of a horizontal spatial extension. Mis-estimations of length induced by Arabic numbers are interpreted in terms of a cognitive illusion, according to which the elaboration of magnitude information brings about an expansion or compression of the mental representation of spatial extension. These results support the hypothesis that visuo-spatial resources are involved in the representation of numerical magnitude.
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MASUYAMA, Eitaro. "Spatial representation of colors." Japanese journal of ergonomics 24, no. 2 (1988): 93–100. http://dx.doi.org/10.5100/jje.24.93.

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von Hecker, Ulrich, Ulrike Hahn, and Jasmine Rollings. "Spatial representation of coherence." Journal of Experimental Psychology: General 145, no. 7 (July 2016): 853–71. http://dx.doi.org/10.1037/xge0000176.

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Dissertations / Theses on the topic "Spatial representation"

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Laakso, Aarre. "The significance of spatial representation /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1999. http://wwwlib.umi.com/cr/ucsd/fullcit?p9935455.

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Magnani, Barbara <1982&gt. "The spatial representation of time." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amsdottorato.unibo.it/4724/1/Magnani_Barbara_tesi.pdf.

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Numerosi studi mostrano che gli intervalli temporali sono rappresentati attraverso un codice spaziale che si estende da sinistra verso destra, dove gli intervalli brevi sono rappresentati a sinistra rispetto a quelli lunghi. Inoltre tale disposizione spaziale del tempo può essere influenzata dalla manipolazione dell’attenzione-spaziale. La presente tesi si inserisce nel dibattito attuale sulla relazione tra rappresentazione spaziale del tempo e attenzione-spaziale attraverso l’uso di una tecnica che modula l’attenzione-spaziale, ovvero, l’Adattamento Prismatico (AP). La prima parte è dedicata ai meccanismi sottostanti tale relazione. Abbiamo mostrato che spostando l’attenzione-spaziale con AP, verso un lato dello spazio, si ottiene una distorsione della rappresentazione di intervalli temporali, in accordo con il lato dello spostamento attenzionale. Questo avviene sia con stimoli visivi, sia con stimoli uditivi, nonostante la modalità uditiva non sia direttamente coinvolta nella procedura visuo-motoria di AP. Questo risultato ci ha suggerito che il codice spaziale utilizzato per rappresentare il tempo, è un meccanismo centrale che viene influenzato ad alti livelli della cognizione spaziale. La tesi prosegue con l’indagine delle aree corticali che mediano l’interazione spazio-tempo, attraverso metodi neuropsicologici, neurofisiologici e di neuroimmagine. In particolare abbiamo evidenziato che, le aree localizzate nell’emisfero destro, sono cruciali per l’elaborazione del tempo, mentre le aree localizzate nell’emisfero sinistro sono cruciali ai fini della procedura di AP e affinché AP abbia effetto sugli intervalli temporali. Infine, la tesi, è dedicata allo studio dei disturbi della rappresentazione spaziale del tempo. I risultati ci indicano che un deficit di attenzione-spaziale, dopo danno emisferico destro, provoca un deficit di rappresentazione spaziale del tempo, che si riflette negativamente sulla vita quotidiana dei pazienti. Particolarmente interessanti sono i risultati ottenuti mediante AP. Un trattamento con AP, efficace nel ridurre il deficit di attenzione-spaziale, riduce anche il deficit di rappresentazione spaziale del tempo, migliorando la qualità di vita dei pazienti.
Numerous studies showed that time intervals are represented via a spatial code ascending from left to right, where shorter intervals are represented to the left of longer intervals. There is also evidence that, this temporal-spatial line, can be manipulated by manipulating the spatial-attention direction. The present thesis contributes to the current debate on the relationship between spatial representation of time and spatial-attention by using a technique to modulate spatial-attention, i.e. Prismatic-Adaptation (PA). In a first part we wondered about the behavioral mechanisms of the spatial-attention and time interaction. We showed that a shift of spatial-attention toward a side of space by PA, induces a distortion of the representation of time stimuli according to the side of attentional manipulation. This is true for time stimuli presented in visual modality but also in auditory modality that is not directly involved in the visuo-motor procedure of PA. This results suggested that the spatial code used to represent time, is a very centralized representation that is affected by spatial operations at high levels of spatial cognition. We followed with the investigation of the cortical areas subtending the space-time interaction. With neuropsychological, neurophysiological and neuroimaging methods, we found that areas in the right hemisphere are selectively related to the pure processing of time, while areas in the left hemisphere are selectively related to the success of PA procedure and to the effects of PA on time. Finally, we focused on the study of the pathology of the spatial representation of time. We found that a spatial-attention deficit, following a right hemispheric stroke, induces a deficit in the spatial representation of time that reflects in patients’ daily life. Moreover we found that a PA treatment, effective in reducing the spatial-attention deficit, also reduces the spatial representation of time disorder, improving patients’ quality of life.
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Magnani, Barbara <1982&gt. "The spatial representation of time." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amsdottorato.unibo.it/4724/.

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Numerosi studi mostrano che gli intervalli temporali sono rappresentati attraverso un codice spaziale che si estende da sinistra verso destra, dove gli intervalli brevi sono rappresentati a sinistra rispetto a quelli lunghi. Inoltre tale disposizione spaziale del tempo può essere influenzata dalla manipolazione dell’attenzione-spaziale. La presente tesi si inserisce nel dibattito attuale sulla relazione tra rappresentazione spaziale del tempo e attenzione-spaziale attraverso l’uso di una tecnica che modula l’attenzione-spaziale, ovvero, l’Adattamento Prismatico (AP). La prima parte è dedicata ai meccanismi sottostanti tale relazione. Abbiamo mostrato che spostando l’attenzione-spaziale con AP, verso un lato dello spazio, si ottiene una distorsione della rappresentazione di intervalli temporali, in accordo con il lato dello spostamento attenzionale. Questo avviene sia con stimoli visivi, sia con stimoli uditivi, nonostante la modalità uditiva non sia direttamente coinvolta nella procedura visuo-motoria di AP. Questo risultato ci ha suggerito che il codice spaziale utilizzato per rappresentare il tempo, è un meccanismo centrale che viene influenzato ad alti livelli della cognizione spaziale. La tesi prosegue con l’indagine delle aree corticali che mediano l’interazione spazio-tempo, attraverso metodi neuropsicologici, neurofisiologici e di neuroimmagine. In particolare abbiamo evidenziato che, le aree localizzate nell’emisfero destro, sono cruciali per l’elaborazione del tempo, mentre le aree localizzate nell’emisfero sinistro sono cruciali ai fini della procedura di AP e affinché AP abbia effetto sugli intervalli temporali. Infine, la tesi, è dedicata allo studio dei disturbi della rappresentazione spaziale del tempo. I risultati ci indicano che un deficit di attenzione-spaziale, dopo danno emisferico destro, provoca un deficit di rappresentazione spaziale del tempo, che si riflette negativamente sulla vita quotidiana dei pazienti. Particolarmente interessanti sono i risultati ottenuti mediante AP. Un trattamento con AP, efficace nel ridurre il deficit di attenzione-spaziale, riduce anche il deficit di rappresentazione spaziale del tempo, migliorando la qualità di vita dei pazienti.
Numerous studies showed that time intervals are represented via a spatial code ascending from left to right, where shorter intervals are represented to the left of longer intervals. There is also evidence that, this temporal-spatial line, can be manipulated by manipulating the spatial-attention direction. The present thesis contributes to the current debate on the relationship between spatial representation of time and spatial-attention by using a technique to modulate spatial-attention, i.e. Prismatic-Adaptation (PA). In a first part we wondered about the behavioral mechanisms of the spatial-attention and time interaction. We showed that a shift of spatial-attention toward a side of space by PA, induces a distortion of the representation of time stimuli according to the side of attentional manipulation. This is true for time stimuli presented in visual modality but also in auditory modality that is not directly involved in the visuo-motor procedure of PA. This results suggested that the spatial code used to represent time, is a very centralized representation that is affected by spatial operations at high levels of spatial cognition. We followed with the investigation of the cortical areas subtending the space-time interaction. With neuropsychological, neurophysiological and neuroimaging methods, we found that areas in the right hemisphere are selectively related to the pure processing of time, while areas in the left hemisphere are selectively related to the success of PA procedure and to the effects of PA on time. Finally, we focused on the study of the pathology of the spatial representation of time. We found that a spatial-attention deficit, following a right hemispheric stroke, induces a deficit in the spatial representation of time that reflects in patients’ daily life. Moreover we found that a PA treatment, effective in reducing the spatial-attention deficit, also reduces the spatial representation of time disorder, improving patients’ quality of life.
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Fleming, Piers F. "Processing and representation of spatial descriptions." Thesis, Lancaster University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423900.

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El-Geresy, Baher. "Qualitative representation and reasoning for spatial and spatio-temporal systems." Thesis, University of South Wales, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403330.

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Thrash, Tyler. "Categorical bias in transient and enduring spatial representation." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1302800868.

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Hostetter, Michael. "Analogical representation in temporal, spatial, and mnemonic reasoning." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-03242009-040545/.

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Lenc, Karel. "Representation of spatial transformations in deep neural networks." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:87a16dc2-9d77-49c3-8096-cf3416fa6893.

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This thesis addresses the problem of investigating the properties and abilities of a variety of computer vision representations with respect to spatial geometric transformations. Our approach is to employ machine learning methods for finding the behaviour of existing image representations empirically and to apply deep learning to new computer vision tasks where the underlying spatial information is of importance. The results help to further the understanding of modern computer vision representations, such as convolutional neural networks (CNNs) in image classification and object detection and to enable their application to new domains such as local feature detection. Because our theoretical understanding of CNNs remains limited, we investigate two key mathematical properties of representations: equivariance (how transformations of the input image are encoded) and equivalence (how two representations, for example two different parameterizations, layers or architectures share the same visual information). A number of methods to establish these properties empirically are proposed. These methods reveal interesting aspects of their structure, including clarifying at which layers in a CNN geometric invariances are achieved and how various CNN architectures differ. We identify several predictors of geometric and architectural compatibility. Direct applications to structured-output regression are demonstrated as well. Local covariant feature detection has been difficult to approach with machine learning techniques. We propose the first fully general formulation for learning local covariant feature detectors which casts detection as a regression problem, enabling the use of powerful regressors such as deep neural networks. The derived covariance constraint can be used to automatically learn which visual structures provide stable anchors for local feature detection. We support these ideas theoretically, and show that existing detectors can be derived in this framework. Additionally, in cooperation with Imperial College London, we introduce a novel large-scale dataset for evaluation of local detectors and descriptors. It is suitable for training and testing modern local features, together with strictly defined evaluation protocols for descriptors in several tasks such as matching, retrieval and verification. The importance of pixel-wise image geometry for object detection is unknown as the best results used to be obtained with combination of CNNs with cues from image segmentation. We propose a detector which uses constant region proposals and, while it approximates objects poorly, we show that a bounding box regressor using intermediate convolutional features can recover sufficiently accurate bounding boxes, demonstrating that the required geometric information is contained in the CNN itself. Combined with other improvements, we obtain an excellent and fast detector that processes an image only with the CNN.
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Andersson, Elin, and Hanna Bengtsson. "Geovisualisering: En rumslig representation av data." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43221.

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Internet of things ger oss möjligheten att kunna identifiera, kontrollera och övervaka objekt över hela världen. För att mängden rådata som strömmar in ska kunna skapa mening och insikter till människan krävs det att den presenteras på rätt sätt. Studien undersöker därför om geovisualisering bättre kan möta människans kognitiva förmåga vid intag och tolkning av information. Geovisualisering innebär att rumslig data kan utforskas på en karta via en interaktiv display och är en länk mellan den mänskliga beslutsprocessen, interaktiva gränssnitt och data [21]. Mer forskning behövs inom området för att undersöka hur geovisualisering kan ta plats i system där stora datamängder behöver presenteras på ett överskådligt sätt och stödja beslutsprocesser. Studien syftar till att jämföra geovisualiseringar med ett befintligt system som tillhandahåller kontinuerlig uppdatering och övervakning av nätverkskameror genom utförande av användbarhetstester och intervjuer. Det som undersökts är om geovisualisering kan ge en ökad förståelse och bättre interaktion i ett utrymme som efterliknar den fysiska världen, samt undersöka potentiella problem för att hitta framtida förbättringar. Resultaten visade att navigering och informationsöverbelastning var återkommande problem under testerna av det befintliga systemet. För geovisualiseringarna visade resultaten det motsatta då de istället underlättade förståelsen för interaktion och information. Vissa problem identifierades dock för de framtagna geovisualiseringarna, som exempelvis dess begränsade interaktion och misstolkningar av objekt. Trots detta visade det sig vara fördelaktigt att placera ut enheter i deras verkliga miljö med hjälp av geovisualisering då det bidrog till en bättre översikt och förståelse av systemets sammanhang.
The Internet of Things gives us the ability to identify, control and monitor objects around the world. In order to get meaning and knowledge from the amount of raw data, it needs to be presented in the right way for people to get insights from it. The study therefore examines whether geovisualization can better meet human cognitive ability in  interpretation of information. Geovisualization means that spatial data can be explored on a map through an interactive display and is a link between the human decision-making process, interactive interfaces and data [21]. More research is needed in the area to investigate how geovisualization can take place in systems where large amounts of data needs to be presented and how it can support decision-making processes. The study aims to compare geovisualizations with an existing system that provides continuous updating and monitoring of network cameras by performing usability tests and interviews. Geovisualization has been investigated to see if it can contribute an increased understanding and better navigation in a space that mimics the physical world, as well as investigate potential problems to find future improvements. The results proved that navigation and information overload were recurring problems during the tests of the existing system. For the geovisualizations, the results proved the opposite as they instead facilitated the understanding of navigation and information. However, some problems were identified for the developed geovisualizations, such as its limited interaction and misinterpretations of objects. Despite this, it proved to be advantageous to place units in their real environment using geovisualization as it contributed to a better overview and understanding of the system's context.
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Goulette, Jean-Pierre. "Representation des connaissances spatiales pour la conception architecturale. Contribution au raisonnement spatial qualitatif." Toulouse 3, 1997. http://www.theses.fr/1997TOU30202.

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Cette etude debute par un bref historique des recherches menees dans les champs de la cao architecturale et de la modelisation du processus de conception. Ce processus est complexe, les problemes de conception en architecture sont mal structures, et, dans sa demarche de conception, l'architecte met en avant des connaissances particulieres qui lui permettent de mieux definir son probleme : les references architecturales. Parmi ces references, nous nous interessons au savoir relatif a la composition architecturale a travers l'exemple d'un element privilegie, a la fois compose et composant, la baie. Nous procedons a l'analyse des descriptions textuelles d'elements d'architecture constituant la baie dans le vocabulaire de l'architecture. Nous rejoignons ainsi certains travaux menes en semantique formelle de l'espace, travaux qui prennent pour point de depart l'etude de textes decrivant des phenomenes spatiaux. Nous presentons ces travaux qui mettent en evidence le fait que la geometrie classique ne suffit pas pour representer et calculer le discours sur l'espace : il faut aussi prendre en compte des niveaux topologique, fonctionnel et pragmatique. Nous reprenons, en les adaptant a notre propos, les resultats de ces travaux. L'analyse des descriptions textuelles d'elements d'architecture et de leurs compositions nous permet de specifier les caracteristiques d'une geometrie pour la cao en architecture. En nous inspirant des theories axiomatiques de la mereotopologie, nous proposons un ensemble de definitions formelles (en logique des predicats) des elements et des relations constituant un cadre d'enonciation des connaissances relatives a la composition des baies en architecture. Nous disposons ainsi d'un langage formel permettant d'exprimer certaines lois de la composition architecturale et de raisonner sur les proprietes des compositions et de leurs constituants. Une maquette logicielle illustre concretement certains resultats de notre etude.
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Books on the topic "Spatial representation"

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Pobil, Angel Pasqual, and Miguel Angel Serna, eds. Spatial Representation and Motion Planning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60620-3.

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Hernández, Daniel, ed. Qualitative Representation of Spatial Knowledge. Berlin/Heidelberg: Springer-Verlag, 1994. http://dx.doi.org/10.1007/bfb0020328.

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del, Pobil Angel Pasqual, and Serna Miguel Angel, eds. Spatial representation and motion planning. Berlin: Springer-Verlag, 1995.

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Qualitative representation of spatial knowledge. Berlin: Springer-Verlag, 1994.

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1966-, Olivier Patrick, and Gapp Klaus-Peter, eds. Representation and processing of spatial expressions. Mahwah, N.J: Lawrence Erlbaum Associates, 1998.

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C, Freksa, Habel Christopher, and Wender Karl Friedrich, eds. Spatial cognition: An interdisciplinary approach to representing and processing spatial knowledge. Berlin: Springer, 1998.

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E, Hoffman James, ed. Spatial representation: From gene to mind. Oxford: Oxford University Press, 2012.

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Oliviero, Stock, ed. Spatial and temporal reasoning. Dordrecht: Kluwer Academic Publishers, 1997.

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Thomas, R. W. Some spatial representation problems in disease modelling. Manchester: University of Manchester, Centre for Urban Policy Studies, 1988.

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Naomi, Eilan, McCarthy Rosaleen A, and Brewer Bill, eds. Spatial representation: Problems in philosophy and psychology. Oxford [England]: Blackwell, 1993.

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Book chapters on the topic "Spatial representation"

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Tambassi, Timothy. "Spatial Representation." In SpringerBriefs in Geography, 39–47. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78145-3_3.

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Landau, Barbara, and Laura Lakusta. "Spatial language and spatial representation." In Typological Studies in Language, 309–33. Amsterdam: John Benjamins Publishing Company, 2006. http://dx.doi.org/10.1075/tsl.66.18lan.

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Raskin, Robert. "Knowledge Representation, Spatial." In Encyclopedia of GIS, 603–4. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_671.

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Raskin, Robert. "Knowledge Representation, Spatial." In Encyclopedia of GIS, 1–2. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_671-2.

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Ricker, Dennis W. "The Spatial Representation." In Echo Signal Processing, 407–67. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0312-5_7.

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Weik, Martin H. "spatial partitioning representation." In Computer Science and Communications Dictionary, 1626. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17822.

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Raskin, Robert. "Knowledge Representation, Spatial." In Encyclopedia of GIS, 1107–8. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_671.

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Berendt, Bettina, Thomas Barkowsky, Christian Freksa, and Stephanie Kelter. "Spatial Representation with Aspect Maps." In Spatial Cognition, 313–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-69342-4_15.

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Johnston, Judith R. "Children's Verabal Representation of Spatial Location." In Spatial Cognition, 195–205. New York: Psychology Press, 2022. http://dx.doi.org/10.4324/9781315785462-11.

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Peacocke, Christopher. "Spatial Perception, Magnitudes, and Analogue Representation." In Spatial Senses, 49–69. 1 [edition]. | New York : Taylor & Francis, 2019. | Series: Routledge studies in contemporary philosophy ; 122: Routledge, 2019. http://dx.doi.org/10.4324/9781315146935-4.

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Conference papers on the topic "Spatial representation"

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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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Lee, Chung-Yeon, Youngjae Yoo, and Byoung-Tak Zhang. "PlaceNet: Neural Spatial Representation Learning with Multimodal Attention." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/144.

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Spatial representation capable of learning a myriad of environmental features is a significant challenge for natural spatial understanding of mobile AI agents. Deep generative models have the potential of discovering rich representations of observed 3D scenes. However, previous approaches have been mainly evaluated on simple environments, or focused only on high-resolution rendering of small-scale scenes, hampering generalization of the representations to various spatial variability. To address this, we present PlaceNet, a neural representation that learns through random observations in a self-supervised manner, and represents observed scenes with triplet attention using visual, topographic, and semantic cues. We evaluate the proposed method on a large-scale multimodal scene dataset consisting of 120 million indoor scenes, and show that PlaceNet successfully generalizes to various environments with lower training loss, higher image quality and structural similarity of predicted scenes, compared to a competitive baseline model. Additionally, analyses of the representations demonstrate that PlaceNet activates more specialized and larger numbers of kernels in the spatial representation, capturing multimodal spatial properties in complex environments.
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Waldon, S., and A. Meystel. "Multiresolutional spatial knowledge representation." In the first international conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/55674.55732.

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Li, JingZhong, and Tinghua Ai. "A multiple representation data model based on state and behavior." 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/10.1117/12.837720.

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Meng, Nina, Tinghua Ai, Xiaodong Zhou, and Xincheng Guo. "Formal representation for gradual changes of spatial relations between regional objects." 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/10.1117/12.838286.

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Yulianti, Santy, and Winci Firdaus. "Spatial Representation of Baduy Tribe." In 2nd Annual Conference on Social Science and Humanities (ANCOSH 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210413.050.

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Gao, Zhenji, Xiaoming Wang, and Guanghong Zeng. "Study on landmark-based qualitative positional representation." In Second International Conference on Spatial Information Technology, edited by Cheng Wang, Shan Zhong, and Jiaolong Wei. SPIE, 2007. http://dx.doi.org/10.1117/12.774818.

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Morales, A., and G. Sciavicco. "Using Temporal Logic for Spatial Reasoning: Spatial Propositional Neighborhood Logic." In Thirteenth International Symposium on Temporal Representation and Reasoning (TIME'06). IEEE, 2006. http://dx.doi.org/10.1109/time.2006.34.

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Neiman, Bennett, and Julio Bermudez. "Between Digital & Analog Civilizations: The Spatial Manipulation Media Workshop." In ACADIA 1997: Representation and Design. ACADIA, 1997. http://dx.doi.org/10.52842/conf.acadia.1997.131.

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Huang, 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.

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Reports on the topic "Spatial representation"

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Schunn, Christian D., Lelyn D. Saner, J. G. Trafton, Susan B. Trickett, Susan K. Kirschenbaum, Michael Knepp, and Melanie Shoup. The Evolution of Spatial Representation During Complex Visual Data Analysis: Knowing When and How to be Exact. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada445030.

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O'Neill, H. B., S. A. Wolfe, and C. Duchesne. Ground ice map of Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330294.

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This Open File presents national-scale mapping of ground ice conditions in Canada. The mapping depicts a first-order estimate of the combined volumetric percentage of excess ice in the top 5 m of permafrost from segregated, wedge, and relict ice. The estimates for the three ice types are based on modelling by O'Neill et al. (2019) (https://doi.org/10.5194/tc-13-753-2019), and informed by available published values of ground ice content and expert knowledge. The mapping offers an improved depiction of ground ice in Canada at a broad scale, incorporating current knowledge on the associations between geological and environmental conditions and ground ice type and abundance. It provides a foundation for hypothesis testing related to broad-scale controls on ground ice formation, preservation, and melt. Additional compilation of quantitative field data on ground ice and improvements to national-scale surficial geology mapping will allow further assessment and refinement of the representation of ground ice in Canada. Continued research will focus on improving the lateral and vertical representation of ground ice required for incorporation into Earth system models and decision-making. Spatial data files of the mapping are available as downloads with this Open File.
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Kularatne, Dhanushka N., Subhrajit Bhattacharya, and M. Ani Hsieh. Computing Energy Optimal Paths in Time-Varying Flows. Drexel University, 2016. http://dx.doi.org/10.17918/d8b66v.

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Autonomous marine vehicles (AMVs) are typically deployed for long periods of time in the ocean to monitor different physical, chemical, and biological processes. Given their limited energy budgets, it makes sense to consider motion plans that leverage the dynamics of the surrounding flow field so as to minimize energy usage for these vehicles. In this paper, we present two graph search based methods to compute energy optimal paths for AMVs in two-dimensional (2-D) time-varying flows. The novelty of the proposed algorithms lies in a unique discrete graph representation of the 3-D configuration space spanned by the spatio-temporal coordinates. This enables a more efficient traversal through the search space, as opposed to a full search of the spatio-temporal configuration space. Furthermore, the proposed strategy results in solutions that are closer to the global optimal when compared to greedy searches through the spatial coordinates alone. We demonstrate the proposed algorithms by computing optimal energy paths around the Channel Islands in the Santa Barbara bay using time-varying flow field forecasts generated by the Regional Ocean Model System. We verify the accuracy of the computed paths by comparing them with paths computed via an optimal control formulation.
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Lovett, Andrew, Morteza Dehghani, and Kenneth Forbus. Constructing Spatial Representations of Variable Detail for Sketch Recognition. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada470425.

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Lutz, Carsten. TheComplexity of Reasoning with Concrete Domains (Revised Version). Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.88.

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Description logics are knowledge representation and reasoning formalisms which represent conceptual knowledge on an abstract logical level. Concrete domains are a theoretically well-founded approach to the integration of description logic reasoning with reasoning about concrete objects such as numbers, time intervals or spatial regions. In this paper, the complexity of combined reasoning with description logcis and on concrete domains is investigated. We extend ALC(D), which is the basic description logic for reasoning with concrete domains, by the operators 'feature agreement' and 'feature disagreement'. For the extended logic,called ALCF(D), an algorithm for deciding the ABox consistency problem is devised. The strategy employed by this algorithm is vital for the efficient implementation of reasoners for description logics incorporating concrete domains. Based on the algorithm, it is proved that the standard reasoning problems for both logics ALC(D) and ALCF(D) are PSpace-complete - provided that the satisfiability test of the concrete domain used is in PSpace.
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Schunn, C. D. A Review of Human Spatial Representations Computational, Neuroscience, Mathematical, Developmental, and Cognitive Psychology Considerations. Fort Belvoir, VA: Defense Technical Information Center, December 2000. http://dx.doi.org/10.21236/ada440864.

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Ansari, S. M., E. M. Schetselaar, and J. A. Craven. Three-dimensional magnetotelluric modelling of the Lalor volcanogenic massive-sulfide deposit, Manitoba. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/328003.

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Unconstrained magnetotelluric inversion commonly produces insufficient inherent resolution to image ore-system fluid pathways that were structurally thinned during post-emplacement tectonic activity. To improve the resolution in these complex environments, we synthesized the 3-D magnetotelluric (MT) response for geologically realistic models using a finite-element-based forward-modelling tool with unstructured meshes and applied it to the Lalor volcanogenic massive-sulfide deposit in the Snow Lake mining camp, Manitoba. This new tool is based on mapping interpolated or simulated resistivity values from wireline logs onto unstructured tetrahedral meshes to reflect, with the help of 3-D models obtained from lithostratigraphic and lithofacies drillhole logs, the complexity of the host-rock geological structure. The resulting stochastic model provides a more realistic representation of the heterogeneous spatial distribution of the electric resistivity values around the massive, stringer, and disseminated sulfide ore zones. Both models were combined into one seamless tetrahedral mesh of the resistivity field. To capture the complex resistivity distribution in the geophysical forward model, a finite-element code was developed. Comparative analyses of the forward models with MT data acquired at the Earth's surface show a reasonable agreement that explains the regional variations associated with the host rock geological structure and detects the local anomalies associated with the MT response of the ore zones.
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De Sapio, Vincent. The application of quaternions and other spatial representations to the reconstruction of re-entry vehicle motion. Office of Scientific and Technical Information (OSTI), September 2010. http://dx.doi.org/10.2172/990959.

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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.
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Shmulevich, Itzhak, Shrini Upadhyaya, Dror Rubinstein, Zvika Asaf, and Jeffrey P. Mitchell. Developing Simulation Tool for the Prediction of Cohesive Behavior Agricultural Materials Using Discrete Element Modeling. United States Department of Agriculture, October 2011. http://dx.doi.org/10.32747/2011.7697108.bard.

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The underlying similarity between soils, grains, fertilizers, concentrated animal feed, pellets, and mixtures is that they are all granular materials used in agriculture. Modeling such materials is a complex process due to the spatial variability of such media, the origin of the material (natural or biological), the nonlinearity of these materials, the contact phenomenon and flow that occur at the interface zone and between these granular materials, as well as the dynamic effect of the interaction process. The lack of a tool for studying such materials has limited the understanding of the phenomena relevant to them, which in turn has led to energy loss and poor quality products. The objective of this study was to develop a reliable prediction simulation tool for cohesive agricultural particle materials using Discrete Element Modeling (DEM). The specific objectives of this study were (1) to develop and verify a 3D cohesionless agricultural soil-tillage tool interaction model that enables the prediction of displacement and flow in the soil media, as well as forces acting on various tillage tools, using the discrete element method; (2) to develop a micro model for the DEM formulation by creating a cohesive contact model based on liquid bridge forces for various agriculture materials; (3) to extend the model to include both plastic and cohesive behavior of various materials, such as grain and soil structures (e.g., compaction level), textures (e.g., clay, loam, several grains), and moisture contents; (4) to develop a method to obtain the parameters for the cohesion contact model to represent specific materials. A DEM model was developed that can represent both plastic and cohesive behavior of soil. Soil cohesive behavior was achieved by considering tensile force between elements. The developed DEM model well represented the effect of wedge shape on soil behavior and reaction force. Laboratory test results showed that wedge penetration resistance in highly compacted soil was two times greater than that in low compacted soil, whereas DEM simulation with parameters obtained from the test of low compacted soil could not simply be extended to that of high compacted soil. The modified model took into account soil failure strength that could be changed with soil compaction. A three dimensional representation composed of normal displacement, shear failure strength and tensile failure strength was proposed to design mechanical properties between elements. The model based on the liquid bridge theory. An inter particle tension force measurement tool was developed and calibrated A comprehensive study of the parameters of the contact model for the DEM taking into account the cohesive/water-bridge was performed on various agricultural grains using this measurement tool. The modified DEM model was compared and validated against the test results. With the newly developed model and procedure for determination of DEM parameters, we could reproduce the high compacted soil behavior and reaction forces both qualitatively and quantitatively for the soil conditions and wedge shapes used in this study. Moreover, the effect of wedge shape on soil behavior and reaction force was well represented with the same parameters. During the research we made use of the commercial PFC3D to analyze soil tillage implements. An investigation was made of three different head drillers. A comparison of three commonly used soil tillage systems was completed, such as moldboard plow, disc plow and chisel plow. It can be concluded that the soil condition after plowing by the specific implement can be predicted by the DEM model. The chisel plow is the most economic tool for increasing soil porosity. The moldboard is the best tool for soil manipulation. It can be concluded that the discrete element simulation can be used as a reliable engineering tool for soil-implement interaction quantitatively and qualitatively.
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