Spatial Analysis of Occupation Floors I: Application of Dimensional Analysis of Variance

1973 ◽  
Vol 38 (3) ◽  
pp. 266-278 ◽  
Author(s):  
Robert Whallon
Keyword(s):  
Spatial Distribution ◽  
Spatial Analysis ◽  
Statistical Method ◽  
Dimensional Analysis ◽  
Analysis Of Variance ◽  
Statistical Procedure ◽  
Spatial Patterning ◽  
Grid Unit ◽  
Valley Of Oaxaca ◽  
Definition Of

AbstractA statistical procedure for the analysis of patterns of spatial distribution of artifacts over occupation areas is outlined. This procedure envisions 3 steps: the testing for non-randomness of spatial concentrations in the distribution of each class of artifacts, the reorganization of the data so as to best reflect such concentrations in the analysis of intercorrelation among those artifact classes which exhibit significant spatial patterning, and finally the analysis of spatial intercorrelations among these artifact classes and the definition of clusters of classes of artifacts based on their similarity of distribution over the area concerned. A new statistical method called dimensional analysis of variance is presented as a method with which to begin this series of steps. Dimensional analysis of variance works with data in the form of counts per grid unit, thus making it applicable in many archaeological situations for which no other statistical methods are available for spatial analysis. The procedure of spatial analysis, based on dimensional analysis of variance, is illustrated with the analysis of a preceramic occupation floor in a small cave in the valley of Oaxaca, Mexico.

Spatial Analysis of Occupation Floors II: The Application of Nearest Neighbor Analysis

1974 ◽  
Vol 39 (1) ◽  
pp. 16-34 ◽  
Author(s):  
Robert Whallon
Keyword(s):  
Spatial Analysis ◽  
Dimensional Analysis ◽  
Analysis Of Variance ◽  
Nearest Neighbor ◽  
Spatial Clustering ◽  
The Other ◽  
Nearest Neighbor Analysis ◽  
Grid Unit ◽  
Distributional Patterns ◽  
The Moment

AbstractThe statistical method of nearest neighbor analysis is presented for the study of distributional patterns of artifacts over occupation floors. It is compared with the previously presented method of dimensional analysis of variance. Nearest neighbor analysis is found to be much more sensitive in its detection of non-random spatial clustering. It has the advantage of not being particularly limited in application by problems of size or shape of the area under study, although it does require coordinates for each artifact and cannot be applied when only counts per grid unit are known. On the other hand, nearest neighbor analysis encounters considerable problems in defining the artifact clusters on an area and in comparing the distributions of several artifact types. These problems severely limit the utility of nearest neighbor analysis at the moment. Dimensional analysis of variance handles them better.

The Spatial Analysis of Non-Ceramic Refuse from the Neolithic Site at Bylany, Czech Republic

2010 ◽  
Vol 13 (3) ◽  
pp. 336-367 ◽  
Author(s):  
Petr Květina
Keyword(s):  
Spatial Distribution ◽  
Czech Republic ◽  
Spatial Analysis ◽  
Spatial Patterning ◽  
Settlement Area ◽  
Chipped Stone ◽  
Neolithic Site ◽  
Use Wear ◽  
The Mean

This article aims to provide an interpretation of the structure and spatial patterning of the non-ceramic refuse from the Neolithic site of Bylany. The data are considered at three levels: tackling questions of refuse management and deposition in the vicinity of houses; the spatial distribution of refuse within the settlement area as a whole; and the quantity and structure of non-ceramic refuse from a long-term settlement perspective. The analysed assemblage of non-ceramic finds is divided into five categories: chipped stone, polished stone, whetstones, manos/metates, and other stones without use-wear traces. The analysis is based on GIS and multivariate statistics. The spatial distribution and quantity of refuse are analysed with respect to space (in terms of proximity to Neolithic houses and the whole of the excavated settlement area) and time (the duration of settlement in six chronological stages). No deliberate pattern of refuse management was identified in the vicinity of the houses, but the refuse was found to have a tendency towards peripheral grouping within the settled area as a whole. Refuse quantity depends on the number of houses and settlement duration. The negative correlation between the mean density of non-ceramic artefacts per house and the number of houses in corresponding chronological stages may be explained by the interpretation that refuse was commonly deposited within abandoned houses, which would be consistent with ethnoarchaeological observations.

scholarly journals Spatial Analysis (Measurements at Heights of 10 m and 20 m above Ground Level) of the Concentrations of Particulate Matter (PM10, PM2.5, and PM1.0) and Gaseous Pollutants (H2S) on the University Campus: A Case Study

Atmosphere ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 62
Author(s):  
Robert Cichowicz ◽  
Maciej Dobrzański
Keyword(s):  
Spatial Distribution ◽  
Hydrogen Sulfide ◽  
Particulate Matter ◽  
Air Quality ◽  
Spatial Analysis ◽  
Ground Level ◽  
Leeward Side ◽  
High Concentration ◽  
Above Ground Level ◽  
High Concentrations

Spatial analysis of the distribution of particulate matter PM10, PM2.5, PM1.0, and hydrogen sulfide (H2S) gas pollution was performed in the area around a university library building. The reasons for the subject matter were reports related to the perceptible odor characteristic of hydrogen sulfide and a general poor assessment of air quality by employees and students. Due to the area of analysis, it was decided to perform measurements at two heights, 10 m and 20 m above ground level, using measuring equipment attached to a DJI Matrice 600 unmanned aerial vehicle (UAV). The aim of the measurements was air quality assessment and investigate the convergence of the theory of air flow around the building with the spatial distribution of air pollutants. Considerable differences of up to 63% were observed in the concentrations of pollutants measured around the building, especially between opposite sides, depending on the direction of the wind. To explain these differences, the theory of aerodynamics was applied to visualize the probable airflow in the direction of the wind. A strong convergence was observed between the aerodynamic model and the spatial distribution of pollutants. This was evidenced by the high concentrations of dust in the areas of strong turbulence at the edges of the building and on the leeward side. The accumulation of pollutants was also clearly noticeable in these locations. A high concentration of H2S was recorded around the library building on the side of the car park. On the other hand, the air turbulence around the building dispersed the gas pollution, causing the concentration of H2S to drop on the leeward side. It was confirmed that in some analyzed areas the permissible concentration of H2S was exceeded.

scholarly journals Advanced 3D Cell Culture Techniques in Micro-Bioreactors, Part II: Systems and Applications

Processes ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 21
Author(s):  
Brigitte Altmann ◽  
Christoph Grün ◽  
Cordula Nies ◽  
Eric Gottwald
Keyword(s):  
Cell Culture ◽  
Spatial Distribution ◽  
3D Cell Culture ◽  
Research Area ◽  
Cell Culture Techniques ◽  
Culture Techniques ◽  
Cell Functions ◽  
Matrix Interactions ◽  
Definition Of ◽  
Extracellular Matrix Interactions

In this second part of our systematic review on the research area of 3D cell culture in micro-bioreactors we give a detailed description of the published work with regard to the existing micro-bioreactor types and their applications, and highlight important results gathered with the respective systems. As an interesting detail, we found that micro-bioreactors have already been used in SARS-CoV research prior to the SARS-CoV2 pandemic. As our literature research revealed a variety of 3D cell culture configurations in the examined bioreactor systems, we defined in review part one “complexity levels” by means of the corresponding 3D cell culture techniques applied in the systems. The definition of the complexity is thereby based on the knowledge that the spatial distribution of cell-extracellular matrix interactions and the spatial distribution of homologous and heterologous cell–cell contacts play an important role in modulating cell functions. Because at least one of these parameters can be assigned to the 3D cell culture techniques discussed in the present review, we structured the studies according to the complexity levels applied in the MBR systems.

On Whallon's Use of Dimensional Analysis of Variance at Guila Naquitz

1974 ◽  
Vol 39 (3) ◽  
pp. 490-492 ◽  
Author(s):  
Michael B. Schiffer
Keyword(s):  
Dimensional Analysis ◽  
Analysis Of Variance ◽  
Formation Processes ◽  
Archaeological Record ◽  
Cultural Formation ◽  
Cultural Formation Processes

AbstractWhallon claims to have made a rigorous application of dimensional analysis of variance to the delineation of spatial artifact patterning at the site of Guila Naquitz. Questions are raised here pertaining to replicability and to the cultural formation processes of the archaeological record. These unresolved questions suggest that Whallon's optimistic claims for the utility of dimensional analysis of variance cannot be adequately evaluated at present.

scholarly journals Spatial Distribution of Breast Cancer in Sudan 2010-2016

2019 ◽  
Author(s):  
Marwa Maweya Abdelbagi Elbasheer ◽  
Ayah Galal Abdelrahman Alkhidir ◽  
Siham Mohammed Awad Mohammed ◽  
Areej Abuelgasim Hassan Abbas ◽  
Aisha Osman Mohamed ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Spatial Distribution ◽  
Spatial Analysis ◽  
High Risk ◽  
Geographical Information ◽  
Risk Level ◽  
Histopathological Diagnosis ◽  
Cross Sectional ◽  
Distribution Maps ◽  
Risk Areas

AbstractBackgroundBreast cancer is the most prevalent cancer among females worldwide including Sudan. The aim of this study was to determine the spatial distribution of breast cancer in Sudan.Materials and methodsA facility based cross-sectional study was implemented in eighteen histopathology laboratories distributed in the three localities of Khartoum State on a sample of 4630 Breast Cancer cases diagnosed during the period 2010-2016. A master database was developed through Epi Info™ 7.1.5.2 for computerizing the data collected: the facility name, type (public or private), and its geo- location (latitude and longitude). Personal data on patients were extracted from their respective medical records (name, age, marital status, ethnic group, State, locality, administrative unit, permanent address and phone number, histopathology diagnosis). The data was summarized through SPSS to generate frequency tables for estimating prevalence and the geographical information system (ArcGIS 10.3) was used to generate the epidemiological distribution maps. ArcGIS 10.3 spatial analysis features were used to develop risk maps based on the kriging method.ResultsBreast cancer prevalence was 3.9 cases per 100,000 female populations. Of the 4423 cases of breast cancer, invasive breast carcinoma of no special type (NST) was the most frequent (79.5%, 3517/4423) histopathological diagnosis. The spatial analysis indicated as high risk areas for breast cancer in Sudan the States of Nile River, Northern, Red Sea, White Nile, Northern and Southern Kordofan.ConclusionsThe attempt to develop a predictive map of breast cancer in Sudan revealed three levels of risk areas (risk, intermediate and high risk areas); regardless the risk level, appropriate preventive and curative health interventions with full support from decision makers are urgently needed.

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