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Relevant bibliographies by topics / Spatial growth

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Academic literature on the topic 'Spatial growth'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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Journal articles on the topic "Spatial growth"

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Abeyratne, Sirimal, and N. S. Cooray. "Trade and Spatial Growth." South Asia Economic Journal 18, no. 1 (March 2017): 94–111. http://dx.doi.org/10.1177/1391561416684257.

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Comparative advantage is based on ‘locational factors’ so that trade leads to growth and its spatial concentration. Until recently, the nexus between trade and spatial growth received little space within trade analyses though it did not appear to be a missing link in initial contributions to trade theory. The reshaping of the global economy with greater integration has called for analyses of trade and spatial growth. This article examines theoretical premises of the link between international trade and spatial growth, and the implications of reshaping of the global economy for the study of spatial growth within trade theory.

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Resende, Guilherme Mendes. "Spatial Dimensions of Economic Growth in Brazil." ISRN Economics 2013 (January 31, 2013): 1–19. http://dx.doi.org/10.1155/2013/398021.

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The contribution of this paper is to explore time and spatial scale dimensions of economic growth in Brazil using alternative panel data techniques to provide a measure of the extent of spatial autocorrelation (in kilometres) over three decades (1970–2000) as well as discussing the determinants of economic growth at a variety of geographic scales (minimum comparable areas, micro-regions, meso-regions, and states). The magnitude and statistical significance of growth determinants such as schooling, population density, population growth, and transportation costs are dependent on the scale of analysis. Moreover, the extent of residual spatial autocorrelation showed that it seems to vary across spatial scales. Indeed, spatial autocorrelation seems to be bounded at the state level and it shows positive and statistically significant values across distances of more than 1,500 kilometres at the other three spatial scales. Among other results, the study suggests that the nonspatial panel data techniques are not able to deal with spatially correlated omitted variables across different spatial scales, except for the state level where nonspatial panel data models seem to be appropriate to investigate growth determinants and convergence process in the Brazilian states case.

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López-Bazo, Enrique, Vassilis Monastiriotis, and Raul Ramos. "Spatial Inequalities and Economic Growth." Spatial Economic Analysis 9, no. 2 (April 3, 2014): 113–19. http://dx.doi.org/10.1080/17421772.2014.904615.

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Palivos, Theodore, and Ping Wang. "Spatial agglomeration and endogenous growth." Regional Science and Urban Economics 26, no. 6 (December 1996): 645–69. http://dx.doi.org/10.1016/s0166-0462(96)02139-4.

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Piribauer, Philipp. "Heterogeneity in spatial growth clusters." Empirical Economics 51, no. 2 (October 27, 2015): 659–80. http://dx.doi.org/10.1007/s00181-015-1023-y.

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Desmet, Klaus, and Esteban Rossi-Hansberg. "Spatial growth and industry age." Journal of Economic Theory 144, no. 6 (November 2009): 2477–502. http://dx.doi.org/10.1016/j.jet.2008.11.001.

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Maya Sopha, Bertha, Fredrika Makasenda, and Anna Maria Sri Asih. "Temporal and spatial prediction of retailer growth." MATEC Web of Conferences 204 (2018): 01001. http://dx.doi.org/10.1051/matecconf/201820401001.

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Retailers have significantly affected good distribution and eventually transportation cost, traffic congestion, and pollution. Understanding spatial development of retailers is therefore of importance in planning logistics particularly in urban areas. The present research aims at predicting retailer growth both temporally and spatially. Both time-series forecasting using Holt’s model and spatial forecasting using ArcGIS were conducted. Results indicate that the existing retailers of Yogyakarta city have already exceeded the minimum requirement of retailers following the Indonesian National Standard, whereas other four districts have need of more retailers. Furthermore, it appears that the connectivity to the road network appears to be the important parameter in determining future location of retailers, contrasting traditional perspective of clustered location at central business area.

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Postiglione, Paolo, Maria Simona Andreano, and Roberto Benedetti. "Spatial Clusters in EU Productivity Growth." Growth and Change 48, no. 1 (August 1, 2016): 40–60. http://dx.doi.org/10.1111/grow.12165.

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Abad, Veronica, Francesco De Luca, Jennifer A. Uyeda, John D. Bacher, and Jeffrey Baron. "Spatial Orientation of Growth Plate Chondrocytes." Pediatric Research 45, no. 4, Part 2 of 2 (April 1999): 83A. http://dx.doi.org/10.1203/00006450-199904020-00497.

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Berman, Edward B. "A SPATIAL AND DYNAMIC GROWTH MODEL." Papers in Regional Science 5, no. 1 (January 14, 2005): 143–50. http://dx.doi.org/10.1111/j.1435-5597.1959.tb01673.x.

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Dissertations / Theses on the topic "Spatial growth"

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Peters, Ian Joseph. "Small business growth : spatial and non-spatial aspects of development." Thesis, University of Southampton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236411.

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Xu, Ruifang. "Spatial Growth Patterns of Pseudomonas aeruginosa Biofilms." Thesis, Montana State University, 2004. http://etd.lib.montana.edu/etd/2004/xu/XuR0805.pdf.

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Biofilms are less susceptible to antimicrobial action compared to their planktonic counterparts. The protective mechanisms are not fully understood. Physiological heterogeneity within biofilms is thought to contribute to the low susceptibility and was therefore studied. Expression of green fluorescent protein (GFP), induction of alkaline phosphatase (APase) by phosphate starvation, and the cell viability assay using the LIVE/DEAD BacLight bacterial viability stain were performed to visualize the spatial patterns of growth and viability within 5-d-old Pseudomonas aeruginosa biofilms. The capillary reactor and the drip-flow reactor were employed to obtain biofilms of a range of thickness. Biofilms cultivated in the capillary reactor were usually thinner than those grown in the low-shear drip-flow reactor. The former were examined by in situ confocal scanning laser microscopy (CSLM) whereas the latter were cryoembedded and cryosectioned prior to conventional fluorescence microscopic observation. P. aeruginosa PAO1 with the plasmid pAB1 carrying an inducible, stable gfp was used to identify zones of active protein synthesis. The induction of gfp proved suitable for the visualization of spatial growth patterns within biofilms. Greater GFP activity was evident at the surface of clusters and was not as bright in their centers after induction. Activity appeared more uniform in smaller clusters and less uniform in larger clusters. The APase activity induced by phosphate starvation showed a sharply delineated band of active APase synthesizing cells close to the biofilm-bulk fluid interface and some local APase synthetic activity in the depth of the biofilm. The results of biofilm viability staining using the LIVE/DEAD BacLight bacterial viability kit turned out to be puzzling and cast doubt on the methodological validity of applying the LIVE/DEAD BacLight bacterial viability staining method to P. aeruginosa biofilms. The findings of the spatial growth patterns illustrate the physiological heterogeneity that is present in these biofilms. Such variation in the metabolic activity probably contributes to the reduced susceptibility of these biofilms to antimicrobial agents.

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Sandberg, Krister. "Hedonic prices, economic growth, and spatial dependence." Doctoral thesis, Umeå : Univ., 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-272.

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McIlhatton, David. "Spatial planning : cellular automata urban growth modelling." Thesis, University of Ulster, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.523107.

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LeSage, James P., and Manfred M. Fischer. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation." WU Vienna University of Economics and Business, 2007. http://epub.wu.ac.at/3968/1/SSRN%2Did980965.pdf.

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This paper uses Bayesian model comparison methods to simultaneously specify both the spatial weight structure and explanatory variables for a spatial growth regression involving 255 NUTS 2 regions across 25 European countries. In addition, a correct interpretation of the spatial regression parameter estimates that takes into account the simultaneous feed- back nature of the spatial autoregressive model is provided. Our findings indicate that incorporating model uncertainty in conjunction with appropriate parameter interpretation decreased the importance of explanatory variables traditionally thought to exert an important influence on regional income growth rates. (authors' abstract)

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Ali, Adnan. "Stochastic pattern formation in growth models with spatial competition." Thesis, University of Warwick, 2012. http://wrap.warwick.ac.uk/54323/.

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The field of stochastic growth encompasses various different processes which are ubiquitously seen across the physical world. In many systems, stochasticity appears quite naturally, where inherent randomness provides the right setting for the tone of motion and interaction, whose symphony leads to the surprising emergence of interesting patterns and structure. Although on the microscopic scale one can be overwhelmed by the randomness arising from the fluctuating interactions between components, on the macroscopic scale, however, one is mesmerized by the emergence of mathematical beauty and symmetry, leading to complex structures with fractal architecture. Competition between components adds an extra degree of complexity and leads to the possibility of critical behaviour and phase transitions. It is an important aspect of many systems, and in order to provide a full explanation of many natural phenomena, we have to understand the role it plays on modifying behaviour. The combination of stochastic growth and competition leads to the emergence of interesting complex patterns. They occur in various systems and in many forms, and thus we treat competition in growth models driven by different laws for the stochastic noise. As a consequence our results are widely applicable and we encourage the reader to find good use for them in their respective field. In this thesis we study stochastic systems containing interacting particles whose motion and interplay lead to directed growth structures on a particular geometry. We show how the effect of the overall geometry in many growth processes can be captured elegantly in terms of a time dependent metric. A natural example we treat is isoradial growth in two dimensions, with domain boundaries of competing microbial species as an example of a system with a homogeneously changing metric. In general, we view domain boundaries as space-time trajectories of particles moving on a dynamic surface and map those into more easily tractable systems with constant metric. This leads to establishing a generic relation between locally interacting, scale invariant stochastic space-time trajectories under constant and time dependent metric. Indeed “the book of nature is written in the language of mathematics” (Galileo Galilei) and we provide a mathematical framework for various systems with various interactions and our results are backed with numerical confirmation.

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Fischer, Manfred M., and Philipp Piribauer. "Model uncertainty in matrix exponential spatial growth regression models." WU Vienna University of Economics and Business, 2013. http://epub.wu.ac.at/4013/1/wp158.pdf.

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This paper considers the problem of model uncertainty associated with variable selection and specification of the spatial weight matrix in spatial growth regression models in general and growth regression models based on the matrix exponential spatial specification in particular. A natural solution, supported by formal probabilistic reasoning, is the use of Bayesian model averaging which assigns probabilities on the model space and deals with model uncertainty by mixing over models, using the posterior model probabilities as weights. This paper proposes to adopt Bayesian information criterion model weights since they have computational advantages over fully Bayesian model weights. The approach is illustrated for both identifying model covariates and unveiling spatial structures present in pan-European growth data. (authors' abstract)
Series: Department of Economics Working Paper Series

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Piribauer, Philipp, and Manfred M. Fischer. "Model uncertainty in matrix exponential spatial growth regression models." Wiley-Blackwell, 2015. http://dx.doi.org/10.1111/gean.12057.

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This paper considers the most important aspects of model uncertainty for spatial regression models, namely the appropriate spatial weight matrix to be employed and the appropriate explanatory vari- ables. We focus on the spatial Durbin model (SDM) specification in this study that nests most models used in the regional growth literature, and develop a simple Bayesian model averaging approach that provides a unified and formal treatment of these aspects of model uncertainty for SDM growth models. The approach expands on the work by LeSage and Fischer (2008) by reducing the computational costs through the use of Bayesian information criterion model weights and a matrix exponential specification of the SDM model. The spatial Durbin matrix exponential model has theoretical and computational advantages over the spatial autoregressive specification due to the ease of inversion, differentiation and integration of the matrix expo- nential. In particular, the matrix exponential has a simple matrix determinant which vanishes for the case of a spatial weight matrix with a trace of zero (LeSage and Pace 2007). This allows for a larger domain of spatial growth regression models to be analysed with this approach, including models based on different classes of spatial weight matrices. The working of the approach is illustrated for the case of 32 potential determinants and three classes of spatial weight matrices (contiguity-based, k-nearest neighbor and distance-based spatial weight matrices), using a dataset of income per capita growth for 273 European regions. (authors' abstract)

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Koch, Wilfried. "Growth, interdependence and international spillovers : a spatial econometric approach." Dijon, 2007. http://www.theses.fr/2007DIJOE006.

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Pourquoi certains pays sont-ils devenus riches alors que d'autres sont restés pauvres ? Cette question est récurrente dans la littérature théorique et empirique consacrée à la croissance économique. Un des faits stylisés généralement admis à propos de la croissance économique sur ces cinquante dernières années est que le taux de croissance d'un pays dépend de manière cruciale des taux de croissance et des niveaux de revenus des autres pays, plutôt qu'uniquement de ses propres taux d'investissement en capital physique et humain. Dans cette thèse, nous montrons donc que l'interdépendance technologique est un facteur fondamental qui doit être pris en compte dans le schéma explicatif des disparités économiques et dans la modélisation des processus de croissance. Pour mettre en évidence les implications théoriques et empiriques de l'interdépendance technologique, nous proposons une stratégie de modélisation de la croissance dans un cadre multi-pays. Nous montrons que les modèles théoriques obtenus conduisent naturellement à des formes réduites économétriques estimables par les méthodes de l'économétrie spatiale
Why have some countries grown rich while others have remained poor? This is a recurrent question in the literature on theoretical and empirical economic growth. One of the traditional stylized facts about growth over the last fifty years is that national growth rates appear to depend critically on the growth rates and income levels of other countries, rather than just on any one country's own domestic investment rates in physical and human capital. Actually, in this dissertation, we show that technological interdependence is crucial to challenge this recurrent question. It should be taken into account in theoretical models which aim at explaining economic disparities and growth processes. To highlight the theoretical and empirical implications of technological interdependence, we propose a modeling strategy based on a multi-country framework. We show that our theoretical models naturally imply econometric reduced forms, which are then estimated using the spatial econometric methodology

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Jung, Juan. "Essays on Absorptive Capacity, ICT, Spatial Externalities, and Regional Growth." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/442974.

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The objective of this thesis is to make a theoretical and empirical contribution, decoding the nature of productivity disparities across different economic actors, and providing reflections for policy advice. One of the main hypothesis is that efficiency-originated productivity gains vary largely among different economic units, as the degree of the economic impact will surely depend significantly on some characteristics of the agents under analysis (firms or regional economies). With a manifest purpose of making contributions which can enrich advice in public-policies, this thesis will focus particularly in most-disadvantaged economic units, intending to find out which circumstances can help them to converge to the most productive ones. In the first place, we present a model which incorporates capital accumulation and spatial spillovers across economies, while allowing for regional differences in absorptive capacity. This model is estimated using a sample of EU regions, over a period including the enlargement of the single-market area in the mid-2000´s. Results confirm the relevance of local absorptive capacity, that is directly linked with the process of making the most of externalities. Capital deepening reduced the role of capital in explaining the regional productivity gap, but was not enough to help lagging regions to equal the return to human capital investments reached by most advanced regions. In the second place, we analyze the incidence of broadband on regional productivity in Brazil, intending to find out if the economic impact is uniform across all territories of the country. The possibility of performing a regional approach, instead of the usual country-level analysis, means an opportunity to disentangle the economic impact of broadband at territories which share a common institutional and regulatory framework as are the regions inside a country. Results suggest that the impact of broadband on productivity is positive although not uniform across regions. On the one hand, it seems to depend on connection quality and network effects. Faster download speed and critical-mass accounting for network externalities in the region enhance the economic impact of broadband. On the other hand, higher productivity gains are estimated for the less developed regions. The fact that the less productive regions in Brazil seem to be benefiting more from broadband may suggest that it can constitute a factor favoring regional convergence in the country. Finally, we test three hypotheses regarding the link between internet and firm productivity: i) internet adoption and use constitute a source of productivity growth for firms in Latin America, ii) the intensity of its use also matters, and iii) the link between the new technologies and productivity levels is not uniform over the whole productivity distribution. The evidence found fills the gap of scarce and fragmented literature focused on Latin America, and is aligned with previous research for more developed regions which has generally recognized that Information and Communication Technologies have radically changed how modern business are conducted, benefitting firm performances through several channels, such as increasing the efficiency of internal processes, expanding market reach or increasing innovation. The findings suggest that low and medium productive firms benefit more from an expansion in internet adoption and use, in comparison with the most productive ones. If this evidence is supposed to reflect long-term effects, then public policies oriented to massify internet adoption and promote internet use intensively will surely contribute to reduce inequalities of enterprise’s productivity levels, promoting a level playing field among Latin American firms, something especially relevant for the most unequal region of the world.
El objetivo de esta tesis es hacer una contribución teórica y empírica, descifrando la naturaleza de las disparidades en productividad entre diferentes actores económicos y proporcionando reflexiones de política pública. Una de las principales hipótesis que se plantean en la tesis es que los aumentos de la productividad originados por mejoras en eficiencia varían considerablemente entre las diferentes unidades económicas (empresas o regiones), ya que el grado de impacto económico dependerá las características de los agentes analizados. Esta tesis se centrará especialmente en las unidades económicas más desfavorecidas, con la intención de estudiar qué circunstancias pueden ayudarlas a converger hacia las más productivas. En primer lugar, presentamos un modelo que incorpora la acumulación de capital y los efectos espaciales en la transmisión de tecnología, a la vez que permite las diferencias regionales en capacidades de absorción. Este modelo se estima utilizando una muestra de regiones de la Unión Europea, durante un período que incluye la ampliación de la zona del mercado único a mediados de los años 2000. Los resultados confirman la relevancia de la capacidad de absorción local, que está directamente vinculada al proceso de aprovechar al máximo las externalidades. La profundización del capital redujo el papel del capital para explicar la brecha de productividad regional, pero no fue suficiente para ayudar a las regiones rezagadas a igualar el retorno a las inversiones de capital humano alcanzadas por las regiones más avanzadas. En segundo lugar, analizamos la incidencia de la banda ancha sobre la productividad regional en Brasil, con la intención de estudiar si el impacto económico es uniforme en todos los territorios del país. La posibilidad de realizar un enfoque regional, en lugar del análisis habitual a nivel nacional, significa una oportunidad para descifrar el impacto económico de la banda ancha en los territorios que comparten un marco institucional y regulatorio común, como son las regiones dentro de un país. Los resultados sugieren que el impacto de la banda ancha en la productividad es positivo aunque no uniforme en todas las regiones. Por un lado, parece depender de la calidad de la conexión y de los efectos de red. Una velocidad de descarga más rápida y la existencia de una masa crítica de usuarios para generar externalidades de red aumentan el impacto económico de la banda ancha. Por otro lado, se pudo verificar que se producirán mayores aumentos de la productividad en las regiones menos desarrolladas. El hecho de que las regiones menos productivas de Brasil parezcan beneficiarse más de la banda ancha parece sugerir que dicha tecnología constituye un factor que favorece la convergencia regional en el país. Por último, probamos tres hipótesis sobre el vínculo entre Internet y la productividad a nivel empresarial: i) la adopción y el uso de Internet constituyen una fuente de crecimiento de la productividad para las empresas en América Latina, ii) la intensidad de su uso también es relevante y iii) el impacto de las nuevas tecnologías en los niveles de productividad no es uniforme para todas las empresas. La evidencia encontrada completa la brecha de una escasa y fragmentada literatura para América Latina, y está alineada con lo esperado en torno a la relevancia de las Tecnologías de Información y Comunicación para transformar radicalmente cómo se conducen las empresas modernas, por ejemplo, aumentando la eficiencia de los procesos internos, ampliando el alcance del mercado o aumentando la actividad innovadora. Los hallazgos sugieren que las empresas menos productivas se benefician más de una expansión en la adopción y el uso de Internet, en comparación con las más productivas. Si se supone que esta evidencia refleja efectos a largo plazo, las políticas públicas orientadas a masificar la adopción y uso de Internet seguramente contribuirán a reducir las desigualdades en los niveles de productividad entre empresas, contribuyendo a reducir disparidades internas en América Latina, una de las regiones más desiguales del mundo.

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Books on the topic "Spatial growth"

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Desmet, Klaus. Spatial growth and industry age. Cambridge, Mass: National Bureau of Economic Research, 2007.

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Spatial urban pattern and growth of urbanisation. New Delhi, India: Inter-India Publications, 1986.

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Breda, Griffith, Yusuf Shahid 1949-, and World Bank, eds. Geography of growth: Spatial economics and competitiveness. Washington, D.C: World Bank, 2012.

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Gabriela, Aparicio, ed. Urban growth and spatial transition: An initial assessment. Washington, D.C: World Bank, 2013.

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G, Moore Donald, and Geological Survey (U.S.), eds. Predictive spatial modeling of narcotic crop growth patterns. Sioux Falls, S.D: U.S. Dept. of the Interior, U.S. Geological Survey, 1986.

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G, Moore Donald, and Geological Survey (U.S.), eds. Predictive spatial modeling of narcotic crop growth patterns. Sioux Falls, S.D: U.S. Dept. of the Interior, U.S. Geological Survey, 1986.

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Thomas, Hoben. Modeling growth and individual differences in spatial tasks. Chicago: Society for Research in Child Development, 1993.

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Gill, Manmohan Singh. Spatial patterns: A socio-ecological analysis. New Delhi, India: National Book Organisation, 1991.

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Sureshan, Selvarajah. Estimation of changes in spatial interaction using incremental growth. Ottawa: National Library of Canada, 1994.

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Váradi, Györgyre. From spatial inequalities to social well-being. Székesfehérvár, Hungary: Kodolányi János University of Applied Sciences, 2015.

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Book chapters on the topic "Spatial growth"

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Wang, Shuguang, and Paul Du. "Spatial Growth Strategies." In Retail Geography, 109–25. New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9781003003762-6.

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Hesse, Markus. "Spatial transformations: Process, goal, guideline?" In Post-Growth Geographies, 309–22. Bielefeld, Germany: transcript Verlag, 2021. http://dx.doi.org/10.14361/9783839457337-023.

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Puu, Tönu. "Cycles, Growth, and Equilibrium." In Advances in Spatial Science, 271–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24785-2_8.

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Puu, Tönu. "Cycles, Growth, and Equilibrium." In Advances in Spatial Science, 211–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03439-2_8.

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Vayá, Esther, and Jordi Suriñach. "The Spatial Distribution of Labour Productivity in the European Regions: A Study in Spatial Econometrics." In European Regional Growth, 183–214. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-07136-6_7.

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Caniëls, Marjolein, and Bart Verspagen. "Spatial Distance in a Technology Gap Model." In European Regional Growth, 159–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-07136-6_6.

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Schmid, Benedikt. "Spatial strategies for a post-growth transformation." In Post-Growth Geographies, 61–84. Bielefeld, Germany: transcript Verlag, 2021. http://dx.doi.org/10.14361/9783839457337-005.

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Gorostiza, Luis G. "Asymptotics and spatial growth of branching random fields." In Stochastic Spatial Processes, 124–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0076243.

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Karlsson, Charlie, Börje Johansson, and Roger Stough. "Introduction: Endogenous Regional Growth and Policies." In Advances in Spatial Science, 3–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59570-7_1.

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Koch, Wilfried. "Growth and Spatial Dependence in Europe." In Progress in Spatial Analysis, 465–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03326-1_21.

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Conference papers on the topic "Spatial growth"

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Liu, Yan, and Jin He. "Developing a web-based cellular automata model for urban growth simulation." 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/10.1117/12.838657.

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Budirahmayani, Anindita, and Khoirunurrofik. "TOURISM AND ECONOMIC GROWTH: SPATIAL PERSPECTIVE." In Proceedings of the Achieving and Sustaining SDGs 2018 Conference: Harnessing the Power of Frontier Technology to Achieve the Sustainable Development Goals (ASSDG 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/assdg-18.2019.2.

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Zhu, Bing, Xuemei Li, Jun Lei, and Xiaolei Zhang. "Urban Spatial Expansion Based on "Smart Growth"." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.1325.

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Savolainen, Sampo, and Ilkka Rinne. "Visualising spatial web service growth across Europe." In AcademicMindTrek'15: Academic Mindtrek Conference 2015. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2818187.2818274.

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Wenjun, Wu. "Spatial Growth Models with Random Node Failures." In 2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2015. http://dx.doi.org/10.1109/icicta.2015.213.

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WADA, TATSUO, and HIROYUKI SASABE. "Photorefractive Materials for Lightwave Manipulation." In Spatial Light Modulators. Washington, D.C.: Optica Publishing Group, 1997. http://dx.doi.org/10.1364/slmo.1997.swd.1.

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Photorefractive materials are the key materials in future lightwave manipulation systems based on real-time holography. Typical photorefractive materials are ferroelectric crystals, such as BaTiO3 and KNbO3. These crystalline materials have a unique set of principal axes, and must be used in bulk form. Therefore they require very careful growth and processing before they can be used. For this reason there has been excitement by the recent development of new organic materials which can be easily made into thin films, and after poling exhibit photorefractive properties.

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Krishnamoorthy, A. V., R. G. Rozier, J. E. Ford, and F. E. Kiamilev. "Demonstration of a CMOS Static RAM Chip with High-Speed Optical Read and Write." In Spatial Light Modulators. Washington, D.C.: Optica Publishing Group, 1997. http://dx.doi.org/10.1364/slmo.1997.pd.2.

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In the last three decades, random access memory (RAM) densities have progressed at an incredible rate, from the early 1 Kilobit chips to the 1 Gigabit DRAMs that have recently been produced [1]. Similar progress has been made in the development of micro-processors, with 64-bit RISC processors now operating at 450MHz, and GHz processors on the horizon [2]. Data transfer rates from high-density memories to processors have not, however, followed this growth curve, producing an increasing gap between memory and processor bandwidths. This has created an opportunity for new techniques for high-speed data transfer from main memory.

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Hibbs-Brenner, M. K., S. D. Mukherjee, J. Lehman, P. P. Ruden, J. J. Liu, A. A. Sawchuk, and W. F. Hsu. "Optical Memory Elements Based on Hetero-nipi Superlattice Asymmetric Cavity Spatial Light Modulators." In Spatial Light Modulators and Applications. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/slma.1993.smc.3.

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Glotova, Anastasia, Tatiana Dobrodomova, and Irina Titova. "Impact of Human and Innovative Potential on the Region’s Economic Growth." In 3rd International Conference Spatial Development of Territories (SDT 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/aebmr.k.210710.056.

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Carvalho, M. R., G. F. Burani, A. Uehara Antunes, A. Meffe, S. Martins Barbosa Neto, C. C. B. de Oliveria, M. Pek di Salvo, and L. Gonzaga Fernandez Silva. "A Gaussian mask model for spatial load growth." In 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.1004.

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Reports on the topic "Spatial growth"

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Cai, Sheng, Lorenzo Caliendo, Fernando Parro, and Wei Xiang. Mechanics of Spatial Growth. Cambridge, MA: National Bureau of Economic Research, October 2022. http://dx.doi.org/10.3386/w30579.

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Desmet, Klaus, and Esteban Rossi-Hansberg. Spatial Growth and Industry Age. Cambridge, MA: National Bureau of Economic Research, August 2007. http://dx.doi.org/10.3386/w13302.

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Khachiyan, Arman, Anthony Thomas, Huye Zhou, Gordon Hanson, Alex Cloninger, Tajana Rosing, and Amit Khandelwal. Using Neural Networks to Predict Micro-Spatial Economic Growth. Cambridge, MA: National Bureau of Economic Research, December 2021. http://dx.doi.org/10.3386/w29569.

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Couture, Victor, Cecile Gaubert, Jessie Handbury, and Erik Hurst. Income Growth and the Distributional Effects of Urban Spatial Sorting. Cambridge, MA: National Bureau of Economic Research, August 2019. http://dx.doi.org/10.3386/w26142.

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Ramírez-Giraldo, María Teresa, and Ana María Loboguerrero-Rodríguez. Spatial dependence and economic growth: evidence from a panel of countries. Bogotá, Colombia: Banco de la República, April 2002. http://dx.doi.org/10.32468/be.206.

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Wheelock, David C., Gary A. Wagner, and Thomas A. Garrett. Regional Disparities in the Spatial Correlation of State Income Growth, 1977-2002. Federal Reserve Bank of St. Louis, 2005. http://dx.doi.org/10.20955/wp.2005.061.

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Peters, Michael. Market Size and Spatial Growth - Evidence from Germany’s Post-War Population Expulsions. Cambridge, MA: National Bureau of Economic Research, October 2021. http://dx.doi.org/10.3386/w29329.

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Wiley, H. S. Spatial Distribution of the EGF Receptor in Regulation of Breast Epithelial Cell Growth and Organization. Fort Belvoir, VA: Defense Technical Information Center, September 1995. http://dx.doi.org/10.21236/ada306441.

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Ji, Yan, Songyuan Teng, and Robert Townsend. Branch Expansion versus Digital Banking: The Dynamics of Growth and Inequality in a Spatial Equilibrium Model. Cambridge, MA: National Bureau of Economic Research, March 2021. http://dx.doi.org/10.3386/w28582.

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McDonald, Hannah. Tree Growth and Spatial Pattern in Two Forest Park Permanent Plots: A Look at Stand Composition and Condition. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.313.

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