Urban growth pattern identification : a case study in Siem Reap, Cambodia

The main purpose of this paper is to identify the pattern of urban growth from 1993 to 2011 in Siem reap town, Cambodia. Land use and land cover maps were generated from Landsat TM imageries from different years in order to extract the information related to urban sprawl. The settlement pattern theory, geographic pattern analysis and visualisation interpretation were used to detect the pattern of urban growth in Siem Reap. Result shows that from 1993 to 2011 the urban area grew significantly, about 102.51%. The development of core settlement areas in Siem Reap revealed to be concentrated along main roads and along the river in the past and still keeping the same trend in the present. The current pattern of urban settlement in Siem Reap was classified as clustered and linear, following the roads network

A GIS-based multi-criteria approach for finding urban growth directions : a case study in Siem Reap, Cambodia

The main objective of this paper is to describe a methodology to estimate in which directions of urban expansion can occur in Siem Reap town, Cambodia. Three main urban driving force factors were identified: population density, distance to road networks, and distance to existing urban. Geographic Information System based multicriteria approaches were integrated to implement this research model. Fuzzyfication process was used to normalize data, allowing posterior aggregation. Analytical Hierarchy Process (AHP) pairwise comparison method was used to assign weights to each factor. This define hierarchy was integrated to map the direction of urban growth in Siem Reap by GIS spatial analyst tools

A proposed methodology for understanding urban growth pattern : a case study in Siem Reap, Cambodia

In this paper, the main goal is to understand the relationship between urban growth and physical factors in order to determine the potential area for future urban expansion. A methodology is suggested for understanding urban growth pattern in Siem Reap which could effectively sustain archaeological sites and to balance the land use between urban and non-urban areas in Siem Reap, Cambodia. Remote sensing technique is used to analyze land use maps of Siem Reap from 1993 to 2011. Results show that urban-built up area increased significantly which causes the forest land to reduce steadily from 1993 to 2003 in the Siem Reap archaeological sites. In addition, Geographic Information System (GIS) is applied to analyze urban growth pattern. Geo-processing and logical functions are applied to detect and quantify the land use changes, especially urban changes. Two main factors are used to analyze the urban driving growth in Siem Reap, which are distance to road networks and population density. Pearson correlation statistics is applied to justify the relationship between the factors and urban area growth

Modeling urban growth pattern for sustainable archaeological sites : a case study in Siem Reap, Cambodia

In this paper, the main goal is to understand the relationship between urban growth and physical factors in order to determine the potential area for future urban expansion. A policy is suggested that could effectively sustain the archaeological sites and to balance the land use between urban and non-urban areas in Siem Reap, Cambodia. Remote sensing is used to analyze land use maps of Siem Reap from 1993 to 2011. Results show that urban-built up area increased significantly which causes the forest land to reduce in the Siem Reap archaeological sites. In addition, Geographic Information System (GIS) is used to analyze urban growth in potential suitable sites. Geo-processing and logical functions are applied to detect and quantify the land use changes, especially urban changes. The percentage of urban area in each year is compared with the population density and road buffers by using Pearson correlation. It is shown that the increasing in urban area is related with population density and road network factors

Spatio-Temporal Urban Growth Pattern in the Arctic: A Case Study in Surgut, Russia

International audienc

Is the Arctic really a frontier? Settlement dynamics within various Arctic Limits based on the Arcticapolis geohistorical database

International audienc

Integration of Arctic places with multi-source data

International audienc

Integration of Arctic Places with Multi-sources Data

International audienceGeographers describe the world more and more on the base of networks and flows. It is a matter of fact that one locality shows its development level through its connectivity to other localities, the national core and more largely the world-system. If this quality is low or missing, locality falls into the periphery. Therefore, within a regional or a city core, one can find pockets of periphery that seem left apart. Thus, the world is no longer organized by concentric circles from the core.The high latitudes is generally regarded as a periphery of the global system that experiences rapid and huge changes under two main drivers: globalization and climate change. Given its rapid evolution, it is difficult to represent emerging Arctic places and those that face decline.As cities and transport network have been intertwined throughout history, this research aims to picture the integration of Arctic localities. To do so, we examine transportation as well as social networks connecting Arctic settlements within the Arctic region and with the non-Arctic region. In this study, a sample of localities was extracted from Arcticapolis, a part of the French Research Group Geopolis dedicated to a geohistorical and worldwide settlement database. Arcticapolis targets all circumpolar countries. Selected localities are located within the Arctic limit created by the Canadian geographer Louis-Edmond Hamelin on the base of physical and human dimensions of the environment such as coldness, number of inhabitants...We look at the connection between settlements through four different networks using three different downloadable data for free on the web. First, for ground transportation, roads and railways, we use OpenStreetMap (OSM). Second, we consider for air routes, data from FlightRadar website which provides real-time flight schedules from 5,000 airports around the world. Third, as interactions between places can also be described by digital footprints, we explore connectivity through social networks using millions of geolocated data from Twitter.At the first step, such quantitative studies require appropriate and homogeneous datasets that are sometimes difficult to collect in a large region covering several countries. We examine the quality and the biases of each dataset especially within the study area (i.e. such as penetration rate for Twitter, users and quality assessment for OSM). Afterwards, we present different methods in graph creation from different sources and we propose a typology of the Arctic localities in terms of centrality.Finally, our study provides a picture of the Arctic places that allows us to question the common hypothesis “the closer to the north, the fewer integration”. It reveals sub-regions where settlements show stronger ties together than with others Arctic regions, as well as Arctic bridgeheads, connected directly with the outside of the circumpolar zone