منابع مشابه
Anticipating land surface change.
The interplay of human actions and natural processes over varied spatial and temporal scales can result in abrupt transitions between contrasting land surface states. Understanding these transitions is a key goal of sustainability science because they can represent abrupt losses of natural capital. This paper recognizes flickering between alternate land surface states in advance of threshold ch...
متن کاملImpact of urban land cover change on land surface temperature
The rapid growth in urban population is seen to create a need for the development of more urban infrastructures. In order to meet this need, natural surfaces such as vegetation are been replaced with non-vegetated surfaces such as asphalt and bricks which has the ability to absorb heat and release it later. This change in land cover is seen to increase the land surface temperature. Previous stu...
متن کاملLand surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan
Kazakhstan is the second largest country to emerge from the collapse of the Soviet Union. Consequent to the abrupt institutional changes surrounding the disintegration of the Soviet Union in the early 1990s, Kazakhstan has reportedly undergone extensive land cover/land use change. Were the institutional changes sufficiently great to affect land surface phenology at spatial resolutions and exten...
متن کاملA Spatial Autoregressive Multinomial Probit Model for Anticipating Land Use Change in Austin, Texas
This paper develops an estimation strategy for and then applies a spatial autoregressive multinomial probit (SAR MNP) model to account for both spatial clustering and cross-alternative correlation. Estimation is achieved using Bayesian techniques with Gibbs and the generalized direct sampling (GDS). The model is applied to analyze land development decisions for undeveloped parcels over a 6-year...
متن کاملAnticipating Land Use Change Using Geographically Weighted Regression Models for Discrete Response
Geographically weighted regression (GWR) enjoys wide application in regional science, thanks to its relatively straightforward formulation and explicit treatment of spatial effects. However, its application to discrete-response data sets and land use change at the level of urban parcels has remained a novelty. This work combines logit specifications with GWR techniques to anticipate five catego...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2013
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.1220161110