Showing papers in "Applied Geography in 2016"

TL;DR: By applying machine learning algorithms on Google Street View imagery, the results showed that sky areas were identified fairly well for the calculation of proportion of sky and the three visual enclosure measures were found to be correlated with pedestrian volume and Walk Score.

TL;DR: This paper investigates the spatiotemporal characteristics of human mobility with a particular focus on the impact of demography, and finds that, although the human mobility measures of different demographic groups generally follow the generic laws, the demographic information significantly affects the urban human mobility patterns.

TL;DR: In this paper, an index system and an integration method for geographical identification of multidimensional poverty were established, and they were further used to carry out a county-level identification of poverty in rural China.

TL;DR: In this article, a historical review of Chile's forest resources was conducted to identify multiple discrete forest transitions throughout Chile's history and found that increases in forest cover were largely driven by the expansion of forest plantations, rather than through native forest regeneration.

TL;DR: In this article, the authors explored the potential for rapid land use/land cover (LULC) mapping using time-series Landsat satellite imagery and training data (for supervised classification) automatically extracted from crowdsourced OpenStreetMap (OSM) and natural polygon datasets.

TL;DR: In this article, socioeconomic indicators were used to assess and mapping social vulnerability index and a Geographic Information System (GIS) approach was applied to identify the spatial variability of social vulnerability to seismic hazard.

TL;DR: Wang et al. as mentioned in this paper used a 10-year panel data set of residential land price in Wuhan, China, by using Geographically Weighted Regression (GWR) analysis.

TL;DR: In this article, the authors conducted a survey with 219 local residents in a Spanish agroforestry (dehesa) landscape and analyzed the spatial patterns of mapped ecosystem services, their relation to land cover, protected area and common land patterns.

TL;DR: In this paper, the authors examined the Liangshan Yi Autonomous Prefecture with reference to the existing research framework and employed a complete two-layer linear model to identify critical factors that affect rural household poverty vulnerability levels.

TL;DR: Wang et al. as discussed by the authors used Spearman correlation analysis to identify multifunctional landscapes in the Beijing-Tianjin-Hebei region, and to make clear associated influencing factors.

TL;DR: In this article, the authors describe socioeconomic, biophysical and institutional characteristics of farmers, and assess the causes, indicators and determinant factors of climate change based on farmers' perception in northern Ethiopia.

TL;DR: In this paper, the responses of urban heat islands to urban expansion in the past decades were simulated using the coupled weather research forecast/urban canopy model (WRF/UCM) system from the 1980s to 2005 and in the future in 2050 embedded with the fine spatial resolution land use/land cover (LULC) datasets over the Beijing-Tianjin-Hebei (BTH) metropolitan area.

TL;DR: In this paper, the authors apply established methods from population geography to assess the impact of Australia's emerging housing affordability crisis in shaping the distribution of Australia’s population into more or less advantaged places.

TL;DR: In this paper, the authors apply a spatial regression model to explain the amount of land use change as a function of land-use factors in the cellular automata model, and the results are further compared with that of an OLS-based CA model.

TL;DR: In this article, a method to assess the credibility of volunteer geographic information (VGI) for time-critical conditions, such as disaster response, was developed. But, the accuracy of the model in the 2011 training dataset was only 90.5%.

TL;DR: This paper proposes the alternative definition of a city with road/street junctions, and presents the methodology for extracting city system for the whole country with national wide road junctions and identifies 4629 redefined cities with a total urban area of 64,144 km2 for the entire China.

TL;DR: In this paper, the authors developed a garden level panel dataset and estimated statistical models to identify the causal effect of monthly temperature, monthly precipitation, drought intensity, and precipitation variability on tea yield, and found decreasing tea yield returns to warmer monthly average temperatures, and when monthly temperatures were above 26.6°C warming had a negative effect.

TL;DR: In this paper, the authors assess different methods to reconstruct land cover and land use from historical maps to identify a time-efficient and reliable method for broad-scale land cover change analysis.

TL;DR: Wang et al. as discussed by the authors analyzed the spatial pattern and drivers of forest fire in Fujian province, southeastern China, during 2000-2008 using Ripley's K-function and logistic regression (LR) model.

TL;DR: Wang et al. as discussed by the authors proposed a novel urban expansion model called simulation model of different urban growth pattern (SMDUGP), which can work well in both adjacent and outlying growth patterns.

TL;DR: For the promotion of GS as an important element of primary prevention in public health, both the quality or functions of GS and the geographic determinants of their access are of higher importance than a simple consideration of total GS surface per capita as often used by decision makers or public health promoters.

TL;DR: In this paper, the authors analyzed the relationship between population densities and deforestation in the Brazilian Amazon between 2000 and 2010, using the database on deforestation published by the Brazilian space research center (INPE) and the population census data released by the federal geographical and statistical agency IBGE at their finest scale.

TL;DR: Neighborhood indicators for happiness, food and physical activity for three large counties: Salt Lake, San Francisco and New York are created to provide greater understanding of the well-being and health behaviors of communities.

TL;DR: In this paper, the authors examined the landscape patterns in terms of size, shape, isolation, and connectivity across the four largest metropolitan areas in Texas, using landscape ecology metrics, and found that larger, less fragmented, and more connected landscape patterns are likely to mediate the mean annual peak runoff.

TL;DR: In this paper, the authors examined the spatio-temporal variability of land use and land cover change and its relationship with Land Surface Temperature (LST) in the Ganges-Brahmaputra delta (GBD).

TL;DR: Wang et al. as discussed by the authors analyzed the geographical preferences of international tourists using geo-tagged photos on social media (the Flickr in particular) from 2008 to 2013, and the intensity of photo sharing (IPS) was used as an indicator of tourist geographical preferences.

TL;DR: In this article, the authors investigated almost 200 years of landscape transformations in a traditional brown coal mining region in northwest Bohemia, Czech Republic, focusing on the central part of the North Bohemian Basin including 44 cadastral areas representing a total area of 228.48 km.

TL;DR: In this article, a Cellular Automata model (CA) was developed to explore the impacts of tourism development on built-up areas. But, the authors did not consider the impact of tourism on land use/cover changes (LUCC).

TL;DR: In this paper, the authors assess Mediterranean habitat loss and conversion into arid habitat under scenarios of climate change and evaluate protected areas, including Natura 2000 sites, which will be affected by these changes.

TL;DR: In this article, the authors apply a recently developed GIS-based methodology to inform electrification planning and strategies in Ethiopia, and illustrate two major aspects of energy planning; 1) how the optimal electrification mix is influenced by a range of parameters, including population density, existing and planned transmission networks and power plants, economic activities, tariffs for grid-based electricity, technology costs for mini-grid and off-grid systems, and fuel costs for consumers.