An Interdisciplinary Narrative Oncology, Capital, and Solidarity

2018 ◽  
Vol 12 (1) ◽  
Author(s):  
Benjamin Wilson
Keyword(s):  
Genetic Mapping ◽  
Spatial Data ◽  
Spatial Dimension ◽  
Spatial Data Analysis ◽  
Patient Specific ◽  
Gis Technology ◽  
Solidarity Economy ◽  
Oncology Research ◽  
Cancer Mutations ◽  
Story Maps

This paper utilizes oncology as the thematic core of an interdisciplinary narrative describing spatial tensions between capitalism and developments in the countervailing social and solidarity economy (SSE).  This exercise explores oncology as metaphor, as a methodological model, and for intervention and policy change.  A Marxian framework supports this narrative construction.   Vampires, the fundamental class process, and the circuit of money capital are concepts that link the genetics of cancer and recent advances in oncology research to political economy.  The application of geographic information system (GIS) technology contributes a spatial dimension to this story.  Maps and exploratory spatial data analysis of the metamorphoses generated across the stages of the circuit of money capital present GIS’s capacity to replicate the genetic mapping of cancer mutations used in oncology.  In addition to diagnostics, genetic mapping enables targeted patient-specific hormonal treatments.  Similarly, it is argued that the SSE is an effective locational treatment strategy for the adverse effects of capitalism’s metabolic processes.

Analysis on Spatial Difference of the Rural Resident’s per Capita Net Income in Qinhuangdao City Based on ESDA

2014 ◽  
Vol 955-959 ◽  
pp. 3893-3898
Author(s):  
Yu Hong Wu
Keyword(s):  
Spatial Data ◽  
Rural Economy ◽  
Spatial Association ◽  
Spatial Data Analysis ◽  
Moran’S I ◽  
Net Income ◽  
Gis Technology ◽  
Moran's I ◽  
Per Capita ◽  
Global Moran’S I

Based on the exploratory spatial data analysis (ESDA) and GIS technology, the spatial differences of the rural economic development level of Qinhuangdao city was investigated by adopting the rural resident’s per capita net income data at town level in Qinhuangdao city from 2007 to 2011. The results of global Moran’s I value for rural resident’s per capita net income at town level showed that there existed significant positive spatial autocorrelation and significant spatial aggregation in the spatial distribution of rural resident’s per capita net income. However, the global Moran’s I value showed a decreasing trend during 2007 to 2011, indicating an enlarged spatial disparity of rural economy at the town level. The results of the Moran scatter plots and LISA cluster maps of 2007 and 2011 showed that most of towns were characterized by positive local spatial association , ie. They were located in the HH or the LL quadrant. The significant HH towns were mostly to be found in the south of Qinhuangdao city, Haigang district, Changli county, Lulong county. The significant LL towns were mostly to be found in the Qinglong county, north of Qinhuangdao city.

Isotropic correlation functions on d-dimensional balls

1999 ◽  
Vol 31 (03) ◽  
pp. 625-631
Author(s):  
Tilmann Gneiting
Keyword(s):  
Data Analysis ◽  
Spatial Data ◽  
Correlation Functions ◽  
Dimensional Space ◽  
Extension Theorem ◽  
Spatial Dimension ◽  
Positive Definite ◽  
Spatial Data Analysis ◽  
Spatial Lag ◽  
Image Position

A popular procedure in spatial data analysis is to fit a line segment of the formc(x) = 1 - α ||x||, ||x|| < 1, to observed correlations at (appropriately scaled) spatial lagxind-dimensional space. We show that such an approach is permissible if and only ifthe upper bound depending on the spatial dimensiond. The proof relies on Matheron's turning bands operator and an extension theorem for positive definite functions due to Rudin. Side results and examples include a general discussion of isotropic correlation functions defined ond-dimensional balls.

Including the spatial dimension: using geographical information systems in hydrology

1996 ◽  
Vol 20 (2) ◽  
pp. 159-177 ◽  
Author(s):  
R.A. McDonnell
Keyword(s):  
Information Systems ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Spatial Dimension ◽  
Geographical Information ◽  
Gis Technology ◽  
Gis Data ◽  
Spatial Data Models ◽  
The Many ◽  
Hydrological Applications

Developments in geographical information systems (GIS) technology have coincided with moves within hydrology to a more explicit accounting of space through distributed rather than lumped or topological representations. GIS support these spatial data models and provide integrating, measuring and analytical capabilities which have been used in many hydrological applications ranging from inventory and assessment studies through to process modelling. The many examples in the article illustrate how the technology has supported moves away from averaged value representations for catchments towards a greater inclusion of spatial variations in hydrological studies. While the potential of these systems is gradually being realized, there are still various issues, both technical and methodological, which at present limit their use. As new data sources become available, GIS data structures become more flexible and open, and, as the understanding of scale variations in processes improves, the possibilities for using the technology in hydrological research will expand.

scholarly journals Are the classical historical geography of the Byzantine world and Gis technology a contradiction? On the usage of contemporary technologies in the humanities

2013 ◽  
pp. 1025-1039
Author(s):  
St. Popovic
Keyword(s):  
Spatial Data ◽  
World Wide ◽  
Historical Geography ◽  
Spatial Data Analysis ◽  
Byzantine Empire ◽  
Gis Technology ◽  
Digital Format ◽  
The World ◽  
International Projects ◽  
Written Sources

The article highlights the latest developments in the field of Digital Humanities. It indicates in which ways these technologies are already used in the historical and geographical science throughout the world and how they could be integrated systematically into Byzantine Studies. In the first part of the article international projects, which are based on GIS (Geographic Information Systems), and their links in the World Wide Web are presented. In the second part the author shows on the basis of his scholarly results on the historical geography of Byzantine Macedonia, how medieval written sources can be transferred into digital format in order to achieve a higher level of spatial data analysis. The neglect of this important and recent scholarly approach in the 21st century could lead to the marginalisation of Byzantine Studies in general, and of the historical geography of the Byzantine Empire in particular.

Isotropic correlation functions on d-dimensional balls

1999 ◽  
Vol 31 (3) ◽  
pp. 625-631 ◽  
Author(s):  
Tilmann Gneiting
Keyword(s):  
Data Analysis ◽  
Spatial Data ◽  
Correlation Functions ◽  
Dimensional Space ◽  
Extension Theorem ◽  
Spatial Dimension ◽  
Positive Definite ◽  
Spatial Data Analysis ◽  
Spatial Lag ◽  
Image Position

A popular procedure in spatial data analysis is to fit a line segment of the form c(x) = 1 - α ||x||, ||x|| < 1, to observed correlations at (appropriately scaled) spatial lag x in d-dimensional space. We show that such an approach is permissible if and only if the upper bound depending on the spatial dimension d. The proof relies on Matheron's turning bands operator and an extension theorem for positive definite functions due to Rudin. Side results and examples include a general discussion of isotropic correlation functions defined on d-dimensional balls.

Cluster identification

2019 ◽  
Vol 29 (4) ◽  
pp. 401-415
Author(s):  
Reinaldo Belickas Manzini ◽  
Di Serio Carlos Luiz
Keyword(s):  
Spatial Data ◽  
Regional Analysis ◽  
Spatial Association ◽  
Spatial Dimension ◽  
Spatial Data Analysis ◽  
Industry Concentration ◽  
Spatial Effects ◽  
Temporal Dimension ◽  
Content Type ◽  
Concentration Statistics

Purpose This paper aims to contribute to the approaches based on traditional industry concentration statistics for identifying clusters by complementing them with the techniques of exploratory spatial data analysis (ESDA). Design/methodology/approach Using a sample with 34,500 observations retrieved from the social information annual report released by Brazil Ministry of Labor and Employment, the methodology was designed to make a comparison between the application of industry concentration statistics and ESDA statistics. Findings As the results show, the geographic distribution measures proved to be fundamental for longitudinal studies on regional dynamics and industrial agglomerations, and the local indicator of spatial association statistic tends to overcome the limitation of the industry concentration approach. Research limitations/implications In the period considered, due to economic, structural and circumstantial questions, activities linked to the transformation industry have been losing ground in the value creation process in Brazil. In this sense, the study of other industries may generate other types of insights that should be considered in the process of regional development. Originality/value This paper offers a critical analysis of empirical approaches and methodological advances with an emphasis on the treatment of special effects: spatial dependence, spatial heterogeneity and spatial scale. However, the regional dynamic presents a temporal dimension and a spatial dimension. The role of space has increasingly attracted attention in the analysis of economic changes. This work has identified opportunities for incorporating spatial effects in regional analysis over time.

scholarly journals Eye Movements in Map Comparison - Preliminary Results and Lessons Learned

2021 ◽  
Author(s):  
Claus Rinner ◽  
Susanne Ferber
Keyword(s):  
Decision Making ◽  
Eye Movements ◽  
Spatial Data ◽  
Fixation Duration ◽  
Neuropsychological Testing ◽  
Lessons Learned ◽  
Spatial Data Analysis ◽  
Gis Technology ◽  
Map Comparison ◽  
Movement Parameters

Comparing maps of different geographic phenomena, or maps of the same phenomenon at different points in time, is an important task in spatial data analysis and decision-making. The process of map comparison has been studied occasionally by cartographers since the 1970s, but recent improvements in neuropsychological testing equipment and GIS technology had us review this topic in a new light. In a pilot experiment, we presented pairs of maps to volunteer participants and recorded their eye movements while judging the maps’ similarity. We analysed average values of eye movement parameters such as fixation duration and proportions of saccades between the two maps in relation to three factors: the participant’s experience in reading maps; the type of map presented; and the actual similarity between the two maps. We found, for example, that different map types engaged viewers in different comparison strategies while we did not find behavioural differences between expert and novice map readers. We will speculate about implications of experimental cartography for GIS design and report on challenges encountered with this approach.

scholarly journals Spatial-Temporal Analysis of the Economic and Environmental Coordination Development Degree in Liaoning Province

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Hui Wang ◽  
Fan Liu ◽  
Ying Yuan ◽  
Liang Wang
Keyword(s):  
Spatial Data ◽  
Temporal Analysis ◽  
Spatial Dimension ◽  
Spatial Data Analysis ◽  
Liaoning Province ◽  
Time Dimension ◽  
Temporal Dimension ◽  
Northwestern Region ◽  
Data Points ◽  
Coordination Development

This study selects 20 indices of economic and environmental conditions over 15 years (1996–2010) for 14 cities in Liaoning province, China. We calculate the economic score and environmental score of each city by processing 4200 data points through SPSS 16.0 and establish synthesis functions between the economy and the environment. For the time dimension, we study the temporal evolution of the economic and environmental coordination development degree . Based on Exploratory Spatial Data Analysis (ESDA) techniques and using GeoDa, we calculate Moran's index of local spatial autocorrelation and explore the spatial distribution character of in Liaoning province through a LISA cluster map. As we found in the temporal dimension, the results show that of the 14 cities has been rising for 15 years and that increases year by year, which indicates that the economic and environmental coordination development condition has been improving from disorder to highly coordinated. A smaller gap between economic strength and environmental carrying capacity in Liaoning province exists, which means that economic development and environmental protection remain synchronized. In the spatial dimension, the highly coordinated cities have changed from a scattering to a concentration in the middle-south region of Liaoning province. Poorly coordinated cities are scattered in the northwestern region of Liaoning province.

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