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1

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

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2

North Eastern Hill University. Department of Geography, ed. CSSM, crop-ecological sustainability simulation model: A spatio-temporal crop-yield analysis tool. Dept. of Geography, North-Eastern Hill University, 2005.

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3

Handcock, Rebecca N. A study that incorporates spatio-temporal data within a GIS and ecological simulation modeling system. National Library of Canada, 1995.

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4

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

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5

Toxopeus, A. G. ISM: An interactive spatial and temporal modelling system as a tool in ecosystem management : with two case studies : Cibodas Biosphere Reserve, West Java, Indonesia, Amboseli Biosphere Reserve, Kajiado District, Central-Southern Kenya. ITC, 1996.

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6

Mazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.

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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation,
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7

Crop photosynthesis: Spatial and temporal determinants. Elsevier, 1992.

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8

Understanding Large Temporal Networks And Spatial Networks. John Wiley and Sons Ltd, 2014.

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9

Moulin, Bernard, Jianhong Wu, and Dongmei Chen. Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases. Wiley & Sons, Incorporated, John, 2014.

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10

Moulin, Bernard, Jianhong Wu, and Dongmei Chen. Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases. Wiley & Sons, Incorporated, John, 2014.

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11

Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases. Wiley & Sons, Limited, John, 2015.

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12

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

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13

Li, Habin. Spatio-temporal pattern analysis of managed forest landscapes: A simulation approach. 1989.

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14

Li, Habin. Spatio-temporal pattern analysis of managed forest landscapes: A simulation approach. 1989.

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15

Sharps, Diana E. Spatial and temporal characteristics of groundwater levels adjacent to beaver ponds in Oregon. 1996.

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16

Burns, Catherine Marie. The effects of spatial and temporal proximity of means-end information in ecological display design for an industrial simulation. 1998.

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17

O, Allgood Glenn, Faust Nick L. 1945-, and Society of Photo-optical Instrumentation Engineers., eds. Visualization of temporal and spatial data for civilian and defense applications: 16-17 April 2001, Orlando, USA. SPIE, 2001.

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18

Cruse, Holk, and Malte Schilling. Pattern generation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0024.

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The faculty to generate patterns is a basic feature of living systems. This chapter concentrates on patterns used in the context of control of behavior. Spatio-temporal patterns appear as quasi-rhythmic patterns mainly in the domain of locomotion (e.g. swimming, flying, walking). Such patterns may be rooted directly in the nervous system itself, or may emerge in interaction with the environment. The examples given show simulation of the corresponding behaviors that in most cases are applied to robots (e.g. walking in an unpredictable environment). In addition, non-rhythmic patterns will be exp
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19

Wang, Bin. Intraseasonal Modulation of the Indian Summer Monsoon. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.616.

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The strongest Indian summer monsoon (ISM) on the planet features prolonged clustered spells of wet and dry conditions often lasting for two to three weeks, known as active and break monsoons. The active and break monsoons are attributed to a quasi-periodic intraseasonal oscillation (ISO), which is an extremely important form of the ISM variability bridging weather and climate variation. The ISO over India is part of the ISO in global tropics. The latter is one of the most important meteorological phenomena discovered during the 20th century (Madden & Julian, 1971, 1972). The extreme dry an
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