Modeling and Simulation in Geographic Information Science: Integrated Models and Grand Challenges
Modeling and Simulation in Geographic Information Science: Integrated Models and Grand Challenges
复制标题
地理信息科学建模与仿真：集成模型和巨大挑战
DOI：
10.1016/j.sbspro.2011.07.003
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Batty M
中科院分区：
文献类型：
--
作者：
Batty M
地理学的定量革命已经酝酿了五十年，在此期间，我们在建立和实施地理系统模型方面取得了巨大进展。这些都是由我们用数字术语表示空间系统的能力的变化所驱动的，而这种科学必须比最初假设的更加丰富的想法导致了我们如何构想高度分解、时间动态形式的具有巨大异质性的系统的巨大发展。随着 GIS 的发展，人们做出了各种尝试将各种模型集成到新的软件环境中，通常作为插件以及通过特定的例程和算法进行模拟，尽管将大型模型与 GIS 强耦合很困难。然而，随着政策开始应对气候变化、城市化、老龄化、移民、安全、能源等更大的“重大”挑战，现在需要将更大规模的模型结合在一起，以对一系列时空尺度的影响进行综合评估。在本文中，我们讨论了这些问题，使用我们为大伦敦建立的城市土地利用交通模型的各种例子，使用聚合和分解方法描述了评估大伦敦地区海平面上升和能源变化的长期影响的例子。通过这些想法，我们将重新评估地理信息科学的作用，并从许多同源的角度提出丰富和丰富地理信息科学的方法。
The quantitative revolution in geography has been fifty years in the making and during this time, we have made enormous progress in building and implementing models of geographical systems. These have been driven by changes in our ability to represent spatial systems in digital terms while the idea that this science must be much richer than was first assumed has led to dramatic developments in how we conceive of systems with great heterogeneity in highly disaggregate, temporally dynamic forms. As GIS has developed, various attempts have been made to integrate various models into new software environments, often as plug-ins as well as through specific routines and algorithms for simulation, notwithstanding the difficulty of strongly coupling large-scale models to GIS. However, as policy has begun to respond to much bigger ‘grand’ challenges such as climate change, urbanization, aging, migration, security, energy and so on, there is now a need for coupling together larger-scale models to form integrated assessments of such impacts across a range of spatial and temporal scales. In this paper, we discuss these issues, using various examples of urban land use transportation models that we are building for Greater London, using aggregate and disaggregate approaches describing an example of assessing the long term impacts of sea level rise and energy change in the Greater London region. Through these ideas, we will reassess the role of geographic information science and suggests ways it might both enrich and be enriched from many cognate perspectives.
人口与经济模型的关联：预测、分析和政策优化中的一些方法论问题。
影响因子：
3
作者：
M. Madden;Batey Pwj
通讯作者：
Batey Pwj
DOI：
--
发表时间：
2010
期刊：
影响因子：
--
作者：
M. Birkin;R. Procter;R. Allan;S. Bechhofer;I. Buchan;C. Goble;Andy Hudson;Smith;P. Lambert;D. D. Roure;R. Sinnott
通讯作者：
R. Sinnott