The use of neural networks to classify land-cover from remote sensing imagery relies on the ability to determine a winner from the candidate land-cover types based on the imagery information available. In the case of a “winnertakes-all” scenario, this does not allow us a measure of how much the prediction of each pixel’s land-cover can be trusted. We present a three-stage method where only winn...

Using the exploratory spatial data analysis method to analyze level of residential land price, and calculate use urban intensive based on PSR model, exploring differences between price in city Hebei Province 2019 make relevant suggestions. The result shows (1) housing is characterized by differentiation circle structure with Langfang as center decreasing outward. (2) overall characteristics hig...

Child Labor and Household Wealth: Theory and Empirical Evidence of an Inverted-U Some studies on child labor have shown that greater land wealth leads to higher child labor, thereby casting doubt on the hypothesis that child labor is caused by poverty. This paper argues that the missing ingredient is an explicit modeling of the labor market. We develop a simple model which suggests an inverted-...

Few studies compare alternative measures of land use diversity or mix in relationship to body mass index. We compare four types of diversity measures: entropy scores (measures of equal distributions of walkable land use categories), distances to walkable destinations (parks and transit stops), proxy measures of mixed use (walk to work measures and neighborhood housing ages), and land use catego...

We introduce the Gini coefficient to assess the rationality of land use structure. The rapid transformation of land use in China provides a typical case for land use structure analysis. In this study, a land Gini coefficient (LGC) analysis tool was developed. The land use structure rationality was analyzed and evaluated based on statistical data for China between 1996 and 2008. The results show...

This study illustrates how remotely-sensed data and GIS can be utilized to allow planners to evaluate the relationship between land use, environmental protection policies, and resource availability. The case study examines St. Tammany Parish in Louisiana which has experienced tremendous population growth and land use change in the past two decades. To date, work has been completed on developing...

Land surface temperature (LST) is a direct impact of urbanization and crucial factor in global climate land cover changes. In this research, we aim to identify the use/land (LULC) on LST as well analyze relationship between three spectral indices using linear, polynomial multiple regression models. The was first retrieved from Landsat imagery single-channel algorithm. Afterwards, LULC maps were...

During the 1960s and 1970s there was an intense debate on the observed inverse relationship between farm size and per hectare agricultural productivity in India. It was subsequently argued that the higher productivity of smallholdings would disappear with the adoption of superior technology, modernisation and growth in general. However, close to half a century later, National Sample Survey data...