Human activities on street spaces are affected by both physical and non-physical settings on streets.These two aspects are primarily impacted by land use which results in the uneven distribution of different activitie...Human activities on street spaces are affected by both physical and non-physical settings on streets.These two aspects are primarily impacted by land use which results in the uneven distribution of different activities on streets.This research investigates land use patterns and their characteristics in association to user’s behaviors.By using mixed qualitative and quantitative research methods,e.g.,place-centered behavioral map,observation,visual encounter surveys,machine learning,the relationship between user’s behavior and land use characteristics along the street is unveiled.All user behaviors along both types of streets were classified into six main categories,with 26 subcategories.The observation results show that the residential use of land along the street was transformed into the commercial use for various types of shophouses based on the resident’s ideas.There is a great correlation between land use and user’s activities.These findings give support to authorities to manage urban streets and develop a sustainable policy for improving street spaces.Further,this research contributes useful information to urban designers and planners in creating a successful street space that is appropriate for the Vietnam Community.展开更多
This study aims to analyze temporal changes in land use and land cover change (LUCC) as well as identify areas for natural regeneration and potential areas for forest restoration in the Huasteca region for the period ...This study aims to analyze temporal changes in land use and land cover change (LUCC) as well as identify areas for natural regeneration and potential areas for forest restoration in the Huasteca region for the period from 1976 to 2007. Changes were quantified in numbers and, additionally, cartography was used to identify and map the main affected areas. Different models based on Geographic Information Systems (GIS) demonstrated that LUCC have occurred on an area of 11718.82 km2, representing 17.84% of the region’s surface. Agriculture and the growth of pasture could be identified as the main human-induced activities that have led to landscape modification. In addition, forest cover is affected by a deforestation rate which is higher than the national average. Further important changes include a change from natural land cover to non-original land cover, affecting an area of 4911.88 km2 in the period from 1976-1993, and an area of 1892.5 km2 in the period from 1993-2002. Smaller changes could be observed for the period from 1993-2002 with an affected area of 1029.78 km2. At the same time, a natural regeneration from nonoriginal to original land cover took place from 1976-1993 on an area of 1318.68 km2, and also on an area of 974.18 km2 between 1993 an 2002. The surface that underwent a natural regeneration of forest cover made up 1932.07 km2. At the same time, an area of 5739.29 km2 for potential forest restoration was identified. Drawing on GIS methods and techniques, the development of thematic maps for land use, land use and land cover changes for the years of analysis (1976-1993-2002-2007) proved to be very adequate for the evaluation and analysis of the land cover and land use change, in particular with regard to the decrease of natural vegetation cover.展开更多
Global scale land cover(LC)mapping has interested many researchers over the last two decades as it is an input data source for various applications.Current global land cover(GLC)maps often do not meet the accuracy and...Global scale land cover(LC)mapping has interested many researchers over the last two decades as it is an input data source for various applications.Current global land cover(GLC)maps often do not meet the accuracy and thematic requirements of specific users.This study aimed to create an improved GLC map by integrating available GLC maps and reference datasets.We also address the thematic requirements of multiple users by demonstrating a concept of producing GLC maps with user-specific legends.We used a regression kriging method to integrate Globcover-2009,LC-CCI-2010,MODIS-2010 and Globeland30 maps and several publicly available GLC reference datasets.Overall correspondence of the integrated GLC map with reference LC was 80%based on 10-fold crossvalidation using 24,681 sample sites.This is globally 10%and regionally 6–13%higher than the input map correspondences.Based on LC class presence probability maps,expected LC proportion maps at coarser resolution were created and used for characterizing mosaic classes for land system modelling and biodiversity assessments.Since more reference datasets are becoming freely accessible,GLC mapping can be further improved by using the pool of all available reference datasets.LC proportion information allow tuning LC products to specific user needs.展开更多
文摘Human activities on street spaces are affected by both physical and non-physical settings on streets.These two aspects are primarily impacted by land use which results in the uneven distribution of different activities on streets.This research investigates land use patterns and their characteristics in association to user’s behaviors.By using mixed qualitative and quantitative research methods,e.g.,place-centered behavioral map,observation,visual encounter surveys,machine learning,the relationship between user’s behavior and land use characteristics along the street is unveiled.All user behaviors along both types of streets were classified into six main categories,with 26 subcategories.The observation results show that the residential use of land along the street was transformed into the commercial use for various types of shophouses based on the resident’s ideas.There is a great correlation between land use and user’s activities.These findings give support to authorities to manage urban streets and develop a sustainable policy for improving street spaces.Further,this research contributes useful information to urban designers and planners in creating a successful street space that is appropriate for the Vietnam Community.
文摘This study aims to analyze temporal changes in land use and land cover change (LUCC) as well as identify areas for natural regeneration and potential areas for forest restoration in the Huasteca region for the period from 1976 to 2007. Changes were quantified in numbers and, additionally, cartography was used to identify and map the main affected areas. Different models based on Geographic Information Systems (GIS) demonstrated that LUCC have occurred on an area of 11718.82 km2, representing 17.84% of the region’s surface. Agriculture and the growth of pasture could be identified as the main human-induced activities that have led to landscape modification. In addition, forest cover is affected by a deforestation rate which is higher than the national average. Further important changes include a change from natural land cover to non-original land cover, affecting an area of 4911.88 km2 in the period from 1976-1993, and an area of 1892.5 km2 in the period from 1993-2002. Smaller changes could be observed for the period from 1993-2002 with an affected area of 1029.78 km2. At the same time, a natural regeneration from nonoriginal to original land cover took place from 1976-1993 on an area of 1318.68 km2, and also on an area of 974.18 km2 between 1993 an 2002. The surface that underwent a natural regeneration of forest cover made up 1932.07 km2. At the same time, an area of 5739.29 km2 for potential forest restoration was identified. Drawing on GIS methods and techniques, the development of thematic maps for land use, land use and land cover changes for the years of analysis (1976-1993-2002-2007) proved to be very adequate for the evaluation and analysis of the land cover and land use change, in particular with regard to the decrease of natural vegetation cover.
基金This study was supported by the ESA Land Cover CCI[4000109875/14/I-NB]JRC CGLOPS1[199494]projects.
文摘Global scale land cover(LC)mapping has interested many researchers over the last two decades as it is an input data source for various applications.Current global land cover(GLC)maps often do not meet the accuracy and thematic requirements of specific users.This study aimed to create an improved GLC map by integrating available GLC maps and reference datasets.We also address the thematic requirements of multiple users by demonstrating a concept of producing GLC maps with user-specific legends.We used a regression kriging method to integrate Globcover-2009,LC-CCI-2010,MODIS-2010 and Globeland30 maps and several publicly available GLC reference datasets.Overall correspondence of the integrated GLC map with reference LC was 80%based on 10-fold crossvalidation using 24,681 sample sites.This is globally 10%and regionally 6–13%higher than the input map correspondences.Based on LC class presence probability maps,expected LC proportion maps at coarser resolution were created and used for characterizing mosaic classes for land system modelling and biodiversity assessments.Since more reference datasets are becoming freely accessible,GLC mapping can be further improved by using the pool of all available reference datasets.LC proportion information allow tuning LC products to specific user needs.
