Construction of a New Spatial Pattern of Industries under the Industrial Transfer in Xi'an Metropolitan Area

2012 ◽  
Vol 174-177 ◽  
pp. 2243-2247
Author(s):  
Yong Pan ◽  
Xiao Jian Chen
Keyword(s):  
Spatial Distribution ◽  
Spatial Pattern ◽  
Metropolitan Area ◽  
Distribution Patterns ◽  
Analysis Method ◽  
Industrial Transfer ◽  
Main Component Analysis ◽  
Countermeasures And Suggestions ◽  
Surrounding Areas ◽  
Main Component

Under the development background of Xi’an international metropolitan area, the industries spatial distribution patterns facing with Xi’an and its surrounding areas change greatly. The authors explore the current industries distribution characters in Xi’an based on the industrial spatial transfer perspective and empirical analysis. Then the authors discuss the potential holding spaces for industrial transfer based on the main component analysis method. Finally, the new pattern and some countermeasures and suggestions are put forward.

scholarly journals Spatial Distribution Patterns Analysis of Hotspot in Central Kalimantan using FIMRS MODIS Data

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Adisty Pratamasari ◽  
Ni Ketut Feny Permatasari ◽  
Tia Pramudiyasari ◽  
Masita Dwi Mandini Manessa ◽  
Supriatna Supriatna
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Correlation Analysis ◽  
Spatial Pattern ◽  
Forest Fires ◽  
Nearest Neighbor ◽  
Kernel Density ◽  
Distribution Patterns ◽  
Central Kalimantan ◽  
Noaa Avhrr

<p><em>One of the ways to observe the </em><em>hotspot created by </em><em>forest fires in Indonesia </em><em>is </em><em>through </em><em>Remote sensing imagery, such as MODIS, NOAA AVHRR, etc</em><em>. </em><em>Central Kalimantan is one of the areas in Indonesia with the highest hotspot data. In this research, MODIS FIRMS hotspot data in Central Kalimantan collected from 2017 – 2019, covering 13 districts: South Barito, East Barito, North Barito, Mount Mas, Kapuas, Katingan, Palangkaraya City, West Kotawaringin, East Kotawaringin, Lamandau, Murung Raya, Pulang Pisau, Seruyan, and Sukamara. That is four aspects that this research evaluated: 1) evaluating the spatial pattern using the Nearest Neighbor Analysis (NNA); 2) evaluate the hotspot density appearance using Kernel Density; and 3) correlation analysis between rainfall data and MODIS FIRMS. As a result, the hotspot in Central Kalimantan shows a clustered pattern. While the natural breaks KDE algorithm shows the most relevant result to represent the hotspot distribution. Finally, the hotspot is low correlated with rainfall; however, is see that most of the hotspot (~90%) appeared in low rainfall month (less than 3000 mm/month).</em></p><p><strong><em>Keywords</em></strong><em>: Forest fire, Hotspot, NNA, Kernel density, Central Kalimantan</em></p>

scholarly journals Spatial patterns of a tropical tree species growing under an eucalyptus plantation in South-East Brazil

2010 ◽  
Vol 70 (2) ◽  
pp. 271-277 ◽  
Author(s):  
P. Higuchi ◽  
AC Silva ◽  
JNC Louzada ◽  
ELM Machado
Keyword(s):  
Spatial Distribution ◽  
Spatial Pattern ◽  
Basal Area ◽  
Tree Height ◽  
Distribution Patterns ◽  
Eucalyptus Plantation ◽  
Source Distance ◽  
Se Brazil ◽  
Population Competition ◽  
Linear Regressions

The objectives of this study were to evaluate the influence of propagules source and the implication of tree size class on the spatial pattern of Xylopia brasiliensis Spreng. individuals growing under the canopy of an experimental plantation of eucalyptus. To this end, all individuals of Xylopia brasiliensis with diameter at soil height (dsh) > 1 cm were mapped in the understory of a 3.16 ha Eucalyptus spp. and Corymbia spp. plantation, located in the municipality of Lavras, SE Brazil. The largest nearby mature tree of X. brasiliensis was considered as the propagules source. Linear regressions were used to assess the influence of the distance of propagules source on the population parameters (density, basal area and height). The spatial pattern of trees was assessed through the Ripley K function. The overall pattern showed that the propagules source distance had strong influence over spatial distribution of trees, mainly the small ones, indicating that the closer the distance from the propagules source, the higher the tree density and the lower the mean tree height. The population showed different spatial distribution patterns according to the spatial scale and diameter class considered. While small trees tended to be aggregated up to around 80 m, the largest individuals were randomly distributed in the area. A plausible explanation for observed patterns might be limited seed rain and intra-population competition.

scholarly journals Investigation on the success of systematic gynaecological checkups among the female Hungarian organized within the national program

2010 ◽  
pp. 405-414
Author(s):  
Anamarija Pakai ◽  
Aniko Der ◽  
Ildiko Krisbaher ◽  
Katalin Nemet ◽  
Lajos Mesaros ◽  
...  
Keyword(s):  
Sampling Method ◽  
Fundamental Problem ◽  
Participation Rate ◽  
Private Sphere ◽  
State Of Health ◽  
Health Administration ◽  
Main Component Analysis ◽  
Using Data ◽  
Surrounding Areas ◽  
Main Component

Based on the county regional incidences in 2004, it can be stated that the occurrence of cervix cancer in Zala county is especially high. The aim of the research is to reveal the reasons for non-appearance on cervix screenings in Zalaegerszeg and its surrounding areas, using data collected by a stratified sampling method from 1000 women. 48,9% of the questioned women appear on a screening annually. During the main component analysis, the 28 variables of the motivational scale grouped around three theoretical sub-conceptions. It is a well-known fact that a population screening can only be effective if the members of the population have a demand for the screening. The conception and the infrastructure, which were worked out by the health administration, have been available since 2003. The fundamental problem of the system is related to the population's low participation rate, which is influenced by fear, the possible damage of the private sphere and the uncomfortable feeling related to the screening. Although, it cannot be forgotten that a great number of the women feel responsible for their own state of health therefore they do attend the screenings. .

Modeling spatial distribution of the unionid mussels and the core-satellite hypothesis

1998 ◽  
Vol 38 (7) ◽  
pp. 73-79 ◽  
Author(s):  
Hooi-Ling Lee ◽  
Donald DeAngelis ◽  
Hock-Lye Koh
Keyword(s):  
Spatial Distribution ◽  
Life Cycle ◽  
Success Rate ◽  
Distribution Patterns ◽  
Fish Host ◽  
Limited Movement ◽  
Unionid Mussels ◽  
Species Characteristics ◽  
Major Factors ◽  
Fish Hosts

This paper discusses the spatial distribution patterns of the various species of the Unionid mussels as functions of their respective life-cycle characteristics. Computer simulations identify two life-cycle characteristics as major factors governing the abundance of a species, namely the movement range of their fish hosts and the success rate of the parasitic larval glochidia in finding fish hosts. Core mussels species have fish hosts with large movement range to disperse the parasitic larval glochidia to achieve high levels of abundance. Species associated with fish host of limited movement range require high success rate of finding fish host to achieve at least an intermediate level of abundance. Species with low success rate of finding fish hosts coupled with fish hosts having limited movement range exhibit satellite species characteristics, namely rare in numbers and sparse in distributions.

Sign in / Sign up

Export Citation Format

Share Document