Towards a Temporal Extension of Spatial Allocation Modeling
نویسنده
چکیده
Spatial allocation models represent decision processes of allocating discrete spatial units (e.g., land parcels and grid cells) to particular uses under the assumption that attributes of those units are unchanged over time and all decisions are made at one time. Given forecasts of spatial attributes, this assumption may be dropped, though spatial and temporal considerations will be highly interwoven and difficult to articulate in simple algebraic terms. This paper describes a systematic approach to analyzing and resolving this complexity in formulating time-dependent spatial allocation models. The implication of the paper is that geographic information systems can serve not only as devices to store and manage spatio-temporal data, but also as platforms to build spatio-temporal decision models.
منابع مشابه
Assessment of Spatial and Temporal Variability of Extreme Precipitation Indices (North and West of Iran)
The frequency of precipitation extreme event can cause flood or change the drought period. Accurate understanding of these changes is necessary to take action to reduce these effects. In this research, temporal and spatial changes of 14 precipitation indices for eight synoptic stations in the North and West of the country were investigated. For this purpose, after reconstructing the daily preci...
متن کاملSpatial-Temporal Trend Modeling for Ozone Concentration in Tehran City
Fitting a suitable covariance function for the correlation structure of spatial-temporal data requires de-trending the data. In this article, some potential models for spatial-temporal trend are presented. Eventually the best model will be announced for de-trending tropospheric ozone concentration data for the city of Tehran (Capital city of Iran). By using the selected trend model, some ...
متن کاملDetermination of Spatial-Temporal Correlation Structure of Troposphere Ozone Data in Tehran City
Spatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location. In this paper we consider daily averages of troposphere ozone over Tehran city. For eliminating the trend of data, a dynamic linear model is used, then some featu...
متن کاملCrime Prevention in Urban Design: towards Space Syntax Approach as a Quantitative Analytic Modeling of Qualitative Issue of Security (Based on Spatial Configuration)
متن کامل
Modeling and Spatio-Temporal Analysis of the Distribution of O3 in Tehran City Based on Neural Network and Spatial Analysis in GIS Environment
Air pollution is one of the most problems that people are facing today in metropolitan areas. Suspended particulates, carbon monoxide, sulfur dioxide, ozone and nitrogen dioxide are the five major pollutants of air that pose many problems to human health. The goal of this study is to propose a spatial approach for estimation and analyzing the spatial and temporal distribution of ozone based on ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004