New interactive graphics tools for exploratory analysis of spatial data

1998 ◽  
pp. 46-55 ◽  
Author(s):  
Anthony Unwin ◽  
Heike Hofmann
Keyword(s):  
Spatial Data ◽  
Exploratory Analysis ◽  
Interactive Graphics

Exploratory Analysis of Spatial Data Using Interactive Maps and Data Mining

2001 ◽  
Vol 28 (3) ◽  
pp. 151-166 ◽  
Author(s):  
N. Andrienko ◽  
G. Andrienko ◽  
A. Savinov ◽  
H. Voss ◽  
D. Wettschereck
Keyword(s):  
Data Mining ◽  
Spatial Data ◽  
Exploratory Analysis ◽  
Interactive Maps

EcoGenetics: An R package for the management and exploratory analysis of spatial data in landscape genetics

2017 ◽  
Vol 17 (6) ◽  
pp. e241-e250 ◽  
Author(s):  
Leandro G. Roser ◽  
Laura I. Ferreyra ◽  
Beatriz O. Saidman ◽  
Juan C. Vilardi
Keyword(s):  
Landscape Genetics ◽  
Spatial Data ◽  
R Package ◽  
Exploratory Analysis

scholarly journals Pressão antrópica nos municípios paranaenses: Uma análise exploratória de dados espaciais

2020 ◽  
Vol 8 (1) ◽  
pp. 89
Author(s):  
Patrícia Pompermayer ◽  
Irene Domenes Zapparoli ◽  
Umberto Antonio Sesso Filho ◽  
Paulo Rogério Alves Brene ◽  
Cleverson Neves
Keyword(s):  
Water Consumption ◽  
Spatial Data ◽  
Electricity Consumption ◽  
The State ◽  
Exploratory Analysis ◽  
Metropolitan Region ◽  
Motor Vehicles ◽  
Per Capita ◽  
Anthropic Pressure ◽  
High Cluster

O estudo identificou quatro fatores de pressão antrópica com periodicidade anual que podem ser analisados para os municípios do estado do Paraná, a densidade demográfica (habitantes por quilômetro quadrado), consumo total de energia elétrica em megawatts por habitante/ano, veículos por habitante e consumo total de água em metros cúbicos por habitante/ano. O fator mais importante é a densidade demográfica e a disponibilidade dos dados mais recentes foi para o ano de 2016. A lista de cinquenta municípios com maiores valores de pressão antrópica possui as cidades mais populosas do estado como Curitiba, Londrina, Maringá, Foz do Iguaçu e São José dos Pinhais. A análise exploratória de dados espaciais mostrou que Região Metropolitana de Curitiba possui um cluster alto-alto de densidade demográfica composto por treze municípios. O Norte Central possui cluster de alto-alto de consumo de água anual per capita. Existe um cluster alto-alto para o fator de pressão antrópica consumo de energia elétrica total anual per capita, o primeiro em municípios das mesorregiões Centro Oriental e Região Metropolitana de Curitiba e o segundo ocupando a região central do estado e partes de diversas mesorregiões. O número de veículos automotores per capita apresentou cluster alto-alto nas mesorregiões Oeste e Sudoeste. Pode-se concluir que os clusters alto-alto precisam de regulação considerando que há falhas de mercado nos serviços ecossistêmicos que são dependentes de energia e matéria (metabolismo). A oferta de água, energia elétrica, carros podem ser controlada pela lei da oferta e procura na dependência de que a pressão antrópica, sobre os recursos naturais, está mais condicionada aos padrões e os níveis de consumo do que a densidade populacional. ABSTRACT The objective of the study was to identify the municipalities of the state of Paraná that present higher values of anthropic pressure and to use the methodology of the exploratory analysis of spatial data (AEDE) to identify clusters of municipalities in the mesoregions of the state considering the variables demographic density, per capita water consumption, per capita electricity consumption and number of motor vehicles per inhabitant. The results showed that there is a high-high cluster for the Metropolitan Region of Curitiba of demographic density composed of thirteen municipalities. Central North has a high-high cluster of annual water consumption per capita and there are two high-high clusters for total annual electricity consumption per capita, the first in municipalities of the mesoregions Eastern Center and Metropolitan Region of Curitiba and the second occupying mostly the central region of the state. The number of motor vehicles per capita presented high-high cluster in the western and south-western mesoregions. The government and the population of the municipalities participating in these groups with greater anthropogenic pressure should be concerned with the scarcity of water and electricity and develop solutions for the pollution generated by high population density and motor vehicles. Keywords: anthropic pressure, Paraná, exploratory analysis of spatial data.

scholarly journals Spatial concentration of Brazilian exports of manufactured products: a microregional analysis considering technological levels

Nova Economia ◽  
2016 ◽  
Vol 26 (3) ◽  
pp. 747-774
Author(s):  
Alex Sander Souza do Carmo ◽  
Augusta Pelinski Raiher ◽  
Alysson Luiz Stege
Keyword(s):  
Spatial Distribution ◽  
Spatial Data ◽  
Concentration Index ◽  
High Technology ◽  
Exploratory Analysis ◽  
Spatial Concentration ◽  
Technology Products ◽  
Manufactured Products ◽  
Technology Product ◽  
Technological Intensity

Abstract: The objective of this study is to analyse the spatial distribution of Brazilian exports of manufactured products considering micro regions and technological intensity. The period under analysis is from 1997 to 2014. To achieve this objective, the micro regional exports were divided into high, medium and low technology; an exports concentration index was built and finally, an exploratory analysis of the spatial data was carried out. Results pointed out the existence of exportation clusters for the three types of products, and regarding the low and medium technology products the clusters were seen to be spread throughout Brazil, while the high technology product clusters were seen to be concentrated in the Southeast region.

scholarly journals Spatial data exploratory analysis and usability

2003 ◽  
Vol 2 ◽  
pp. 100-116 ◽  
Author(s):  
D. Josselin
Keyword(s):  
Spatial Data ◽  
Exploratory Analysis
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