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Relevant bibliographies by topics / And geo-distribution

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Journal articles

Academic literature on the topic 'And geo-distribution'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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Journal articles on the topic "And geo-distribution"

1

Bernstein, Philip A., Sebastian Burckhardt, Sergey Bykov, et al. "Geo-distribution of actor-based services." Proceedings of the ACM on Programming Languages 1, OOPSLA (2017): 1–26. http://dx.doi.org/10.1145/3133931.

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2

Markstrom, Steven L., Gregory McCabe, and Olaf David. "Web-based distribution of geo-scientific models." Computers & Geosciences 28, no. 4 (2002): 577–81. http://dx.doi.org/10.1016/s0098-3004(01)00090-5.

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3

Scholzel, Christian A., Andreas Hense, Peter Hubl, Norbert Kuhl, and Thomas Litt. "Digitization and geo-referencing of botanical distribution maps." Journal of Biogeography 29, no. 7 (2002): 851–56. http://dx.doi.org/10.1046/j.1365-2699.2002.00696.x.

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4

Hasenburg, Jonathan, and David Bermbach. "GeoBroker: Leveraging geo-contexts for IoT data distribution." Computer Communications 151 (February 2020): 473–84. http://dx.doi.org/10.1016/j.comcom.2020.01.015.

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5

Jahn, M. W., P. E. Bradley, M. Al Doori, and M. Breunig. "TOPOLOGICALLY CONSISTENT MODELS FOR EFFICIENT BIG GEO-SPATIO-TEMPORAL DATA DISTRIBUTION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W5 (October 23, 2017): 65–72. http://dx.doi.org/10.5194/isprs-annals-iv-4-w5-65-2017.

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Geo-spatio-temporal topology models are likely to become a key concept to check the consistency of 3D (spatial space) and 4D (spatial + temporal space) models for emerging GIS applications such as subsurface reservoir modelling or the simulation of energy and water supply of mega or smart cities. Furthermore, the data management for complex models consisting of big geo-spatial data is a challenge for GIS and geo-database research. General challenges, concepts, and techniques of big geo-spatial data management are presented. In this paper we introduce a sound mathematical approach for a topolog

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6

Shi, Ping, Zhang Hua Chen, and Hong Guang Ji. "A New Method for Analysis on Geo-Stress Field Fitting." Advanced Materials Research 838-841 (November 2013): 2267–74. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2267.

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Geo-stresses distribution of mining areas was analyzed by means of the partial least squares regression method (PLSRM). Based on the data measured in Wushaoling tunnel ridge section, numerical simulation of initial geo-stress field around the area had been done using the commercial software called ANSYS. PLSRM was achieved through actual measurement data and calculation results of geo-stress, then fitting data was ready. Compared with the traditional method of least squares, it is suggested that, due to the advantage of principal component analysis in applying PLSRM, present method can effecti

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7

Klebanov, Lev B., Stefan Mittnik, Svetlozar T. Rachev, and Vladimir E. Volkovich. "A new representation for the characteristic function of strictly geo-stable vectors." Journal of Applied Probability 37, no. 04 (2000): 1137–42. http://dx.doi.org/10.1017/s0021900200018325.

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A new representation for the characteristic function of the multivariate strictly geo-stable distribution is presented. The representation is appealing from a parametric viewpoint: its parameters have an intuitive probabilistic interpretation; and it is particularly useful for estimating the parameters of the geo-stable distribution.

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8

Klebanov, Lev B., Stefan Mittnik, Svetlozar T. Rachev, and Vladimir E. Volkovich. "A new representation for the characteristic function of strictly geo-stable vectors." Journal of Applied Probability 37, no. 4 (2000): 1137–42. http://dx.doi.org/10.1239/jap/1014843093.

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Abstract:

A new representation for the characteristic function of the multivariate strictly geo-stable distribution is presented. The representation is appealing from a parametric viewpoint: its parameters have an intuitive probabilistic interpretation; and it is particularly useful for estimating the parameters of the geo-stable distribution.

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9

Hu, Han, Yonggang Wen, Tat-Seng Chua, and Xuelong Li. "Cost-Optimized Microblog Distribution over Geo-Distributed Data Centers." ACM Transactions on Intelligent Systems and Technology 8, no. 3 (2017): 1–18. http://dx.doi.org/10.1145/3014431.

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10

Hong, Nguyen Van, Mai Thi Lan, and Nguyen Thu Nhan. "Polyamorphism and Two State Model in Liquid GeO\(_{2}\) under Compression: Insight from Visualization of Molecular Dynamics Data." Communications in Physics 24, no. 3S1 (2014): 95–98. http://dx.doi.org/10.15625/0868-3166/24/3s1/5235.

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The polyamorphism and two-state model based on the coordination number distribution in liquid GeO\(_{2}\) at 3200~K and in a wide pressure range are investigated by molecular dynamics simulation. Results show that the structure of liquid GeO\(_{2}\) mainly consists of GeO\(_{x}\) coordination units \((x=4,5,6)\) and OGe\(_{y}\) linkages \((y=2, 3)\). The distribution of OGe\(_{y}\) linkages in network structure is not uniform but tends to form clusters of OGe\(_{y}\). The cluster of OGe\(_{2}\) will form low-density phase region, conversely the cluster of OGe\(_{3}\) will form high-density pha

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