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1

1948-, Aertsen Ad, red. Brain theory: Spatio-temporal aspects of brain function. Amsterdam: Elsevier, 1993.

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2

L, Heres, red. Time in GIS: Issues in spatio-temporal modelling. Delft: NCG, 2000.

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Frank, A. U., I. Campari i U. Formentini, red. Theories and Methods of Spatio-Temporal Reasoning in Geographic Space. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55966-3.

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U, Frank Andrew, Campari I i Formentini U, red. Theories and methods of spatio-temporal reasoning in geographic space. Berlin: Springer-Verlag, 1992.

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Hazarika, Shyamanta M. Qualitative spatio-temporal representation and reasoning: Trends and future directions. Hershey, PA: Information Science Reference, 2012.

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Spatial statistics and spatio-temporal data: Covariance functions and directional properties. Chichester, West Sussex, U.K: Wiley, 2011.

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Chenkun, Qi, i SpringerLink (Online service), red. Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach. Dordrecht: Springer Netherlands, 2011.

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Zhongguo chan ye ji qun shi kong fa zhan yan jiu: Spatio-temporal development study on industrial clusters in China. Beijing Shi: Jing ji guan li chu ban she, 2011.

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Shi jian yu zhong de shi jian bo mo xing: Shi kong shu ju de shi jue tan suo huan jing = The Time Wave in Time Space : A Visual Exploration Environment for Spatio-temporal Data. Beijing: Ce hui chu ban she, 2014.

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Cheng shi jing guan dong tai shi kong mo ni: Spatio-temporal dynamic and simulation of urban landscape. Beijing: Zhongguo huan jing ke xue chu ban she, 2009.

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Sherman, Michael. Spatial Statistics and Spatio-Temporal Data. Wiley & Sons, Incorporated, John, 2010.

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Summa, Michela. Spatio-Temporal Intertwining: Husserl's Transcendental Aesthetic. Springer, 2014.

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Summa, Michela. Spatio-temporal Intertwining: Husserl’s Transcendental Aesthetic. Springer, 2016.

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Spatio-temporal Intertwining: Husserl’s Transcendental Aesthetic. Springer, 2014.

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15

Held, Leonhard, Valerie Isham i Barbel Finkenstadt. Statistical Methods for Spatio-Temporal Systems. Taylor & Francis Group, 2019.

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Held, Leonhard, Valerie Isham i Barbel Finkenstadt. Statistical Methods for Spatio-Temporal Systems. Taylor & Francis Group, 2006.

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17

Held, Leonhard, Valerie Isham i Barbel Finkenstadt. Statistical Methods for Spatio-Temporal Systems. Taylor & Francis Group, 2006.

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Held, Leonhard, Valerie Isham i Barbel Finkenstadt. Statistical Methods for Spatio-Temporal Systems. Taylor & Francis Group, 2010.

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19

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Incorporated, John, 2010.

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Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Limited, John, 2010.

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21

Neuhaus, Fabian. Emergent Spatio-Temporal Dimensions of the City: Habitus and Urban Rhythms. Springer International Publishing AG, 2016.

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Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Incorporated, John, 2011.

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23

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Incorporated, John, 2011.

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24

Qi, Chenkun, i Han-Xiong Li. Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach. Springer Netherlands, 2014.

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25

(Editor), Barbel Finkenstadt, Leonhard Held (Editor) i Valerie Isham (Editor), red. Statistical Methods for Spatio-Temporal Systems (Monographs on Statistics and Applied Probability). Chapman & Hall/CRC, 2006.

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26

Spatio-temporal coherence and chaos in physical systems: Los Alamos Center for Nonlinear Studies workshop, January 21-24, 1986. Amsterdam: North-Holland, 1986.

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Bishop, Alan R., i George Gruner. Spatio-Temporal Coherence and Chaos in Physical Systems: Los Alamos Center for Nonlinear Studies Workshop January 21-24, 1986. Elsevier Science Ltd, 1987.

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Frank, Andrew U., i I. Campari. Theories and Methods of Spatio-Temporal Reasoning in Geographic Space: International Conference Gis-From Space to Territory : Theories and Methods of (Lecture Notes in Computer Science). Springer, 1992.

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(Editor), Andrew U. Frank, Irene Campari (Editor) i Ubaldo Formentini (Editor), red. Theories and Methods of Spatio-Temporal Reasoning in Geographic Space: International Conference GIS - From Space to Territory: Theories and Methods of ... (Lecture Notes in Computer Science). Springer, 1992.

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Belnap, Nuel, Thomas Müller i Tomasz Placek. Branching Space-Times. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190884314.001.0001.

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This book develops a rigorous theory of indeterminism as a local and modal concept. Its crucial insight is that our world contains events or processes with alternative, really possible outcomes. The theory aims at clarifying what this assumption involves, and it does it in two ways. First, it provides a mathematically rigorous framework for local and modal indeterminism. Second, we support that theory by spelling out the philosophically relevant consequences of this formulation and by showing its fruitful applications in metaphysics. To this end, we offer a formal analysis of modal correlations and of causation, which is applicable in indeterministic and non-local contexts as well. We also propose a rigorous theory of objective single-case probabilities, intended to represent degrees of possibility. In a third step, we link our theory to current physics, investigating how local and modal indeterminism relates to issues in the foundations of physics, in particular, quantum non-locality and spatio-temporal relativity. The book also ventures into the philosophy of time, showing how the theory’s resources can be used to explicate the dynamic concept of the past, present, and future based on local indeterminism.
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Andrews, Gavin J. Non-Representational Theory and Health: The Health in Life in Space-Time Revealing. Taylor & Francis Group, 2018.

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32

Andrews, Gavin J. Non-Representational Theory and Health: The Health in Life in Space-Time Revealing. Taylor & Francis Group, 2018.

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Wikle, Christopher K. Spatial Statistics. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.710.

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The climate system consists of interactions between physical, biological, chemical, and human processes across a wide range of spatial and temporal scales. Characterizing the behavior of components of this system is crucial for scientists and decision makers. There is substantial uncertainty associated with observations of this system as well as our understanding of various system components and their interaction. Thus, inference and prediction in climate science should accommodate uncertainty in order to facilitate the decision-making process. Statistical science is designed to provide the tools to perform inference and prediction in the presence of uncertainty. In particular, the field of spatial statistics considers inference and prediction for uncertain processes that exhibit dependence in space and/or time. Traditionally, this is done descriptively through the characterization of the first two moments of the process, one expressing the mean structure and one accounting for dependence through covariability.Historically, there are three primary areas of methodological development in spatial statistics: geostatistics, which considers processes that vary continuously over space; areal or lattice processes, which considers processes that are defined on a countable discrete domain (e.g., political units); and, spatial point patterns (or point processes), which consider the locations of events in space to be a random process. All of these methods have been used in the climate sciences, but the most prominent has been the geostatistical methodology. This methodology was simultaneously discovered in geology and in meteorology and provides a way to do optimal prediction (interpolation) in space and can facilitate parameter inference for spatial data. These methods rely strongly on Gaussian process theory, which is increasingly of interest in machine learning. These methods are common in the spatial statistics literature, but much development is still being done in the area to accommodate more complex processes and “big data” applications. Newer approaches are based on restricting models to neighbor-based representations or reformulating the random spatial process in terms of a basis expansion. There are many computational and flexibility advantages to these approaches, depending on the specific implementation. Complexity is also increasingly being accommodated through the use of the hierarchical modeling paradigm, which provides a probabilistically consistent way to decompose the data, process, and parameters corresponding to the spatial or spatio-temporal process.Perhaps the biggest challenge in modern applications of spatial and spatio-temporal statistics is to develop methods that are flexible yet can account for the complex dependencies between and across processes, account for uncertainty in all aspects of the problem, and still be computationally tractable. These are daunting challenges, yet it is a very active area of research, and new solutions are constantly being developed. New methods are also being rapidly developed in the machine learning community, and these methods are increasingly more applicable to dependent processes. The interaction and cross-fertilization between the machine learning and spatial statistics community is growing, which will likely lead to a new generation of spatial statistical methods that are applicable to climate science.
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34

Kärrholm, Mattias. Urban Squares: Spatio-Temporal Studies of Design and Everyday Life in the Öresund Region. Nordic Academic Press, Sweden, 2016.

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Kärrholm, Mattias. Urban Squares: Spatio-Temporal Studies of Design and Everyday Life in the Öresund Region. Nordic Academic Press, Sweden, 2016.

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Kärrholm, Mattias. Urban Squares: Spatio-Temporal Studies of Design and Everyday Life in the Öresund Region. Nordic Academic Press, Sweden, 2016.

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Urban Squares: Spatio-Temporal Studies of Design and Everyday Life in the Öresund Region. Nordic Academic Press, Sweden, 2016.

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38

Aradau, Claudia. Articulations of Sovereignty. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190846626.013.375.

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Sovereignty has been variously understood as the given principle of international relations, an institution, a social construct, a performative discourse subject to historical transformation, or a particular practice of power. The “articulations” of sovereignty refer to sovereignty as a practice that is worked on and in turn works with and against other practices. Alongside territory and supreme authority, sovereignty is characterized by the capacity to make and enforce laws. Sovereignty has also been defined in opposition to rights, as the spatiotemporal limits it instantiates are also the limits of rights. Another conceptualization of sovereignty has been revived in international relations, partly in response to the question of exclusions and limits that sovereign practices enacted. In addition, sovereignty is not inextricably tied up with the state but is articulated with heterogeneous and contradictory discourses and practices that create meaning about the international, and has consequences for the kind of community, politics, and agency that are possible. There are three effects of the logic of sovereignty in the international system: the ordering of the domestic and the international, the spatio-temporal limits to politics, and the exclusions from agency. In addition, there are three renditions of the international as a “thick” social space: those of globalization theories, of biopolitics, and of empire.
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Wilkinson, David O. Comparative Civilizations. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.125.

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The study of comparative civilization raises a variety of questions; for example, how “civilization” is related to “culture,” what criteria shall be used to distinguish one civilization from another, or whether the past of civilizations can tell us anything about the future of our global civilization. One way to approach these elements of the comparative-civilizational problematique is by analyzing the successive theses of notable workers in the field, from Herodotus of Halicarnassus and Marco Polo to Garcilaso Inca de la Vega, Ibn Khaldun, Giambattista Vico, and Georg Wilhelm Friedrich Hegel. The works of Hegel and four other scholars—Nikolai Danilevsky, Oswald Spengler, Arnold Toynbee, and Pitirim Sorokin—are considered classics in the study of macrosocial systems. More recent studies of macrosocial systems that deserve consideration are those by André Gunder Frank and Barry Gills; Christopher Chase-Dunn and Thomas Hall; Carroll Quigley; Matthew Melko; and Samuel P. Huntington. The “civilizations” and “world-systems” approaches to macrosocieties are both strongly concerned to explain political conditions like hegemony and rivalry, general war, and general peace. Thus, it would be useful to concentrate on the political–military–diplomatic foci of both approaches. A key to making comparative-civilizational research more systematic is to identify the spatio-temporal boundaries of civilizations as complex systems with particular locations in space and time.
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Low, Setha, i Mark Maguire, red. Spaces of Security. NYU Press, 2019. http://dx.doi.org/10.18574/nyu/9781479863013.001.0001.

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This volume represents the efforts of anthropologists and others to explore to spaces of security. Today, security is one of the most prominent topics in anthropology. Spatial metaphors and images saturate research on security, yet anthropology has not developed a coherent approach to this important dimension of security. This volume draws together ethnographic research on spaces of security from different regions and scales, range from blast-proof bedrooms in Israel to biometric identification in India, and from border control in Argentina to counterterrorism in East Africa. Each contribution focuses on specific spatio-temporal configurations, infrastructural interventions and shifts in discourse and practice. The different emphasis in each contribution shows the multiplicity of ways that one might grapple with the rascal concept of security, and demonstrate the power of a spatial lens to bring into focus the ways that security acquires its discursive content and concrete form.
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