Cognitive and Linguistic Aspects of Geographic Space: An Introduction

Author(s):  
David M. Mark ◽  
Andrew U. Frank
Keyword(s):  
Author(s):  
Rafael Sanzio Araújo dos Anjos ◽  
Jose Leandro de Araujo Conceição ◽  
Jõao Emanuel ◽  
Matheus Nunes

The spatial information regarding the use of territory is one of the many strategies used to answer and to inform about what happened, what is happening and what may happen in geographic space. Therefore, the mapping of land use as a communication tool for the spatial data made significant progress in improving sources of information, especially over the last few decades, with new generation remote sensing products for data manipulation.


GEOgraphia ◽  
2009 ◽  
Vol 3 (5) ◽  
pp. 7
Author(s):  
Manuel Correia de Andrade

Resumo O processo de globalização não é um processo recente, e vem sempre associado a distintas dinâmicas de regionalização. No caso brasileiro, sua inserção aos circuitos globais começa no período colonial, e diferentes regionalizações vão se sucedendo no tempo. A globalização, longe de ser simplesmente um processo unificador. realiza permanentes diferenciações do espaço geográfico. Palavras-chave: Globalização, Regionalização. Espaço Brasileiro.Abstract The process of globalization is not a recent process. and it is always associated with different dynamics of regionalization. In Brazil, its insertion to global circuits begins at the colonial period, with different regionalizations through each historical phase. So, the globalization is not simply an unifying process but it produces constant differentiation at geographic space. KeThe process of globalization is not a recent process. and it is always associated with different dynamics of regionalization. In Brazil, its insertion to global circuits begins at the colonial period, with different regionalizations through each historical phase. So, the globalization is not simply an unifying process but it produces constant differentiation at geographic space. Kevwords: Globalization, Regionalization, Brazilian Space.vwords: Globalization, Regionalization, Brazilian Space.


2021 ◽  
pp. 1-13
Author(s):  
Emma Alfaro ◽  
Xochitl Inostroza ◽  
José E. Dipierri ◽  
Daniela Peña Aguilera ◽  
Jorge Hidalgo ◽  
...  

Abstract The analysis of multiple population structures (biodemographic, genetic and socio-cultural) and their inter-relations contribute to a deeper understanding of population structure and population dynamics. Genetically, the population structure corresponds to the deviation of random mating conditioned by a limited number of ancestors, by restricted migration in the social or geographic space, or by preference for certain consanguineous unions. Through the isonymic method, surname frequency and distribution across the population can supply quantitative information on the structure of a human population, as they constitute universal socio-cultural variables. Using documentary sources to undertake the Doctrine of Belén’s (Altos de Arica, Chile) historical demography reconstruction between 1763 and 1820, this study identified an indigenous population with stable patronymics. The availability of complete marriage, baptism and death records, low rates of migration and the significant percentage of individuals registered and constantly present in this population favoured the application of the isonymic method. The aim of this work was to use given names and surnames recorded in these documentary sources to reconstruct the population structure and migration pattern of the Doctrine of Belén between 1750 and 1813 through the isonymic method. The results of the study were consistent with the ethno-historical data of this ethnic space, where social cohesion was, in multiple ways, related to the regulation of daily life in colonial Andean societies.


2021 ◽  
Vol 13 (3) ◽  
pp. 1512
Author(s):  
Yicheol Han ◽  
Stephan J. Goetz ◽  
Claudia Schmidt

This article presents a spatial supply network model for estimating and visualizing spatial commodity flows that used data on firm location and employment, an input–output table of inter-industry transactions, and material balance-type equations. Building on earlier work, we proposed a general method for visualizing detailed supply chains across geographic space, applying the preferential attachment rule to gravity equations in the network context; we then provided illustrations for U.S. extractive, manufacturing, and service industries, also highlighting differences in rural–urban interdependencies across these sectors. The resulting visualizations may be helpful for better understanding supply chain geographies, as well as business interconnections and interdependencies, and to anticipate and potentially address vulnerabilities to different types of shocks.


2021 ◽  
Author(s):  
Fátima Jorge ◽  
Nolwenn M. Dheilly ◽  
Céline Froissard ◽  
Eleanor Wainwright ◽  
Robert Poulin

Soil Research ◽  
2015 ◽  
Vol 53 (8) ◽  
pp. 907 ◽  
Author(s):  
David Clifford ◽  
Yi Guo

Given the wide variety of ways one can measure and record soil properties, it is not uncommon to have multiple overlapping predictive maps for a particular soil property. One is then faced with the challenge of choosing the best prediction at a particular point, either by selecting one of the maps, or by combining them together in some optimal manner. This question was recently examined in detail when Malone et al. (2014) compared four different methods for combining a digital soil mapping product with a disaggregation product based on legacy data. These authors also examined the issue of how to compute confidence intervals for the resulting map based on confidence intervals associated with the original input products. In this paper, we propose a new method to combine models called adaptive gating, which is inspired by the use of gating functions in mixture of experts, a machine learning approach to forming hierarchical classifiers. We compare it here with two standard approaches – inverse-variance weights and a regression based approach. One of the benefits of the adaptive gating approach is that it allows weights to vary based on covariate information or across geographic space. As such, this presents a method that explicitly takes full advantage of the spatial nature of the maps we are trying to blend. We also suggest a conservative method for combining confidence intervals. We show that the root mean-squared error of predictions from the adaptive gating approach is similar to that of other standard approaches under cross-validation. However under independent validation the adaptive gating approach works better than the alternatives and as such it warrants further study in other areas of application and further development to reduce its computational complexity.


Author(s):  
Delfina Trinca Fighera

Este artigo pretende discutir a técnica enquanto expressáo das relações entre o Homem e o espaço por ele ocupado, por ele transformado. Buscando nos aproximar de uma visão geográfica das ações do Homem sobre a Natureza, tentam os entender a construção do "presente" e sua configuração nos tempos atuais


2015 ◽  
Vol 112 (22) ◽  
pp. 6943-6948 ◽  
Author(s):  
David S. Kirk

More than 600,000 prisoners are released from incarceration each year in the United States, and most end up residing in metropolitan areas, clustered within a select few neighborhoods. Likely consequences of this concentration of returning prisoners include higher rates of subsequent crime and recidivism. In fact, one-half of released prisoners return to prison within only 3 y of release. The routine exposure to criminogenic influences and criminal opportunities portends a bleak future for individuals who reside in neighborhoods with numerous other ex-prisoners. Through a natural experiment focused on post-Hurricane Katrina Louisiana, I examine a counterfactual scenario: If instead of concentrating ex-prisoners in geographic space, what would happen to recidivism rates if ex-prisoners were dispersed across space? Findings reveal that a decrease in the concentration of parolees in a neighborhood leads to a significant decrease in the reincarceration rate of former prisoners.


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