scholarly journals Spatial Distribution of Natural Radioactivity and Statistical Analyses of Radioactive Variables in Algerian Ceramic Products

2020 ◽  
Vol 10 (2) ◽  
pp. 47-54
Author(s):  
Saadi , Esma ◽  
Azbouche , Ahmed ◽  
Benrachi , Fatima
Keyword(s):  
Spatial Distribution ◽  
Natural Radioactivity ◽  
Statistical Analyses

Geographical origin of bivalve molluscs in coastal areas using natural radioactivity fingerprinting and multivariate statistical analyses: Andalusian coast as case of study

2019 ◽  
Vol 367 ◽  
pp. 706-714 ◽  
Author(s):  
Santiago Hurtado-Bermúdez ◽  
José Antonio Jurado-González ◽  
Juan Luis Santos ◽  
Carlos Francisco Díaz-Amigo ◽  
Irene Aparicio ◽  
...  
Keyword(s):  
Natural Radioactivity ◽  
Geographical Origin ◽  
Coastal Areas ◽  
Statistical Analyses ◽  
Multivariate Statistical Analyses ◽  
Bivalve Molluscs ◽  
Multivariate Statistical

An Investigation of the Influence of the Spatial Distribution of Neighborhood Violent Crime on Fear of Crime

2016 ◽  
Vol 63 (13) ◽  
pp. 1757-1776 ◽  
Author(s):  
Michael S. Barton ◽  
Frederick Weil ◽  
Melinda Jackson ◽  
Darien A. Hickey
Keyword(s):  
Spatial Distribution ◽  
Violent Crime ◽  
Spatial Dependence ◽  
Fear Of Crime ◽  
Protective Factor ◽  
Crime Rates ◽  
Statistical Analyses ◽  
Criminal Victimization ◽  
Neighborhood Level ◽  
The U.S

Although crime rates dramatically declined during the 1990s, recent statistics indicated more than one third of the U.S. population continued to be afraid of areas within one mile of their home. Statistics such as this imply spatial dependence, but the importance of space in statistical analyses of fear of crime has remained relatively underexplored. The current study contributes to research on fear of crime by assessing the importance of crime rates in nearby neighborhood areas in addition to conventional individual- and neighborhood-level predictors of fear of criminal victimization. Results indicate that individuals who lived near neighborhoods that featured higher rates of violent crime were more likely to report being afraid of violent crime, but that the influence of violent crime rates in nearby neighborhoods was lessened after other features of their home neighborhood were controlled. In particular, the results highlight the importance of neighborhood communities as a protective factor against fear of crime.

scholarly journals Methodology for selection of samples from borehole probe for technological characterization of iron ore

2014 ◽  
Vol 67 (3) ◽  
pp. 271-277
Author(s):  
Gésner J. I. dos Santos ◽  
Diniz T. Ribeiro ◽  
Carlos Alberto Pereira
Keyword(s):  
Spatial Distribution ◽  
Iron Ore ◽  
Mineral Processing ◽  
Statistical Analyses ◽  
Fast Analysis ◽  
Evaluation Team ◽  
Resources Evaluation ◽  
Mining Projects ◽  
Selection Of

The risks in the evaluation of mining projects are directly related to the probability of errors in the estimates, and, as the estimates are based on sampling results, this activity must be performed in a careful and planned way, to prevent surprises at the beginning of operation. To validate the representativeness of the borehole samples selected for the mineral processing studies, the geological resources evaluation team proposed a methodology based on the utilization of statistical analyses that, beyond considering the spatial distribution of the samples in the deposit, also assessed if they are representative of the populations under investigation. With this data, the geologist is able to make a fast analysis of the sampling's representativeness.

scholarly journals The Stellar Structure of the Orion Spiral ARM in Selected Directions. I. The Galactic Anticenter

1995 ◽  
Vol 148 ◽  
pp. 384-387
Author(s):  
Teimuraz M. Kvernadze
Keyword(s):  
Spatial Distribution ◽  
Spectral Data ◽  
Observational Data ◽  
Sufficient Accuracy ◽  
Statistical Analyses ◽  
Stellar Structure ◽  
Spectral Classification ◽  
Objective Prism ◽  
Spiral Arm ◽  
Photographic Photometry

To investigate the spatial distribution of various stellar groups in the Hertzsprung-Russell diagram, it is necessary to have homogeneous observational data of MK spectral classification and photometry. This enables us to perform some statistical analyses with sufficient accuracy.This paper reports BV photographic photometry of about 700 stars complete to mV = 12, in the direction of galactic anticenter with (l,b) = (169°, −12.4°), (178°, −2.4°), (184°, 8.9°). For the MK spectral data we used the catalogue by Bartaya and Kharadze (1992), which contains spectral and luminosity classes of 6042 stars in Kapteyn Areas Nos. 44–67. The observational data for this catalogue were obtained using the Abastumani Astrophysical Observatory 70 cm meniscus telescope and an 8°objective prism with dispersion 166 Åmm−1 near Hγ. The errors in classification are equal to ± 0.6 spectral subclasses and ± 0.5 luminosity classes, with a limiting magnitude of mV = 12.5.

Estimation of temporal and spatial changes in micronutrients in the soil using geostatistical analysis

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
GARIMA SHUKLA ◽  
G. C. MISHRA ◽  
S. K. SINGH
Keyword(s):  
Spatial Distribution ◽  
Dynamic System ◽  
Spatial Variation ◽  
Uttar Pradesh ◽  
Geostatistical Analysis ◽  
Statistical Analyses ◽  
Distribution Maps ◽  
Spatial Changes ◽  
Temporal And Spatial ◽  
Using Data

Investigation of temporal and spatial changes is essential in soil because of its heterogeneous, diverse and dynamic system. In present paper, content of some important major micronutrients namely zinc, boron and iron were estimated at different unsampled locations in Sevapuri block of Varanasi district, Uttar Pradesh by using some Geostatistical analysis. After normalizing the data, geo-statistical analyses were used to illustrate spatial variation and then spatial distribution maps of micronutrients were prepared. On the basis of these maps amount of micronutrients at unsampled location were estimated by using data of sampled locations.

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