Modeling Urban Land Use Change and Urban Sprawl: Calgary, Alberta, Canada

Abstract

This paper implements a land use classification for the City of Calgary, Alberta, Canada, using an object-oriented approach for six Landsat TM and ETM+ images and simulates the land use pattern in the future using Markov Chain analysis and Cellular Automata analysis based on the interactions between these land uses and the transportation network. Shannon's Entropy (an urban sprawl index) based on the land use classification results is used to measure urban sprawl. This research proves that an object-oriented approach can produce satisfactory classification results. It reveals the manner in which land use is likely to develop in the future, and demonstrates that urban sprawl continued to grow in Calgary during the years between 1985 and 2001. Such models are useful for providing the building blocks for traditional four-step transportation planning models.

Mudanças No Uso Do Solo Na Província De Imbabura, Equador, No Período De 1990-2020

“…La principal limitación radica en que la mayoría de lugares no cambian su uso de la tierra a lo largo de un período de simulación típica, generando un alto nivel de coincidencia que se reflejan en lo índices de evaluación (SUN et al, 2007). Dado que este tipo modelo no especifica el nivel de precisión deseado a priori, es difícil para entender las bases sobre las cuales algunos trabajos rutinariamente afirman que los resultados son aceptables o no y, como la validación es la parte más débil de las simulaciones, se ignora con frecuencia y, cuando que se lleva a cabo, a menudo utiliza métodos engañosos (PONTIUS et al, 2004).…”

“…De esta manera se intenta conocer como evolucionarán los usos del suelo para el área de estudio. Se recurrió al programa Idrisi Taiga en el cual el autómata celular es aplicado por el modulo CA Markov que utiliza el resultado del análisis de la cadena de Markov y aplica un filtro de contigüidad a las celdas para predecir el cambio de un uso de suelo a otro en dos períodos distintos (SUN et al, 2007).…”

Impact of urbanization on the sediment yield in tropical watershed using temporal land-use changes and a GIS-based model

“…The supervised classification method was used to classify the watershed landscape for each land-use class separately. This process ensured optimal accommodate of the position of a pixel linked to the boundary line between two or more pre-defined classes [SUN et al 2007]. The method searches for the pixel with most likely variance within the inter-class and less possible variance within the intra-class [WE-BER, PUISSANT 2003].…”

Longitudinal correlations of car ownership with socio-economics, urban form, and transport infrastructure in Latin America: Example from Ensenada, Mexico

“…There are studies which prefer to do descriptive work and determinate if the city is sprawled using some characteristics. In numerical terms, Shannon entropy has been used by different authors to give a value to the city (Yeh, Li, 2001;Sun et al 2007;Alabi, 2009;Deka et al 2011;Joshi, Bhatt, 2011). The range fluctuates from zero to one, where one is a sprawled city.…”