scholarly journals Redefining the Modifiable Areal Unit Problem Within Spatial Econometrics, the Case of the Aggregation Problem

Equilibrium ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. 131-151
Author(s):  
Michał Bernard Pietrzak

The paper focuses on the issue of the aggregation problem, which is frequently discussed within spatial econometrics. The aggregation problem is one of the two aspects of the modifiable areal unit problem (MAUP). The aggregation problem is connected with the volatility of the obtained results occurred when various compositions of territorial units for the same aggregation scale were applied. The objective of the present paper is to consider the redefinition of aggregation problem and showing positive solution of the aggregation problem based on the empirical example of determining agricultural macroregions. In the article the aggregation problem was defined as a problem of establishing a particular composition of territorial units at a selected aggregation scale in a such a way that is remains in the quasi composition of regions within the undertaken research problem. The paper also presented the procedure for determining agricultural macroregions where the analysis of the spatial volatility of the agrarian structure and the current knowledge on the agriculture in Poland were applied. In addition, the paper considered the final areal interpretation problem connected with the incorrect determination of the area in relation to which final conclusions are drawn. The problem was presented basing on the example of the establishment of the average concentration of the area of agricultural land in Poland with the use of the Gini index calculated for districts. The paper emphasised that ignoring the final areal interpretation problem in spatial analyses may lead to an apparent identification of the modifiable areal unit problem.

Equilibrium ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. 111-132 ◽  
Author(s):  
Michał Bernard Pietrzak

The paper focuses on the issue of the modifiable areal unit problem (MAUP), which is frequently discussed within spatial econometrics. This issue concerns the changeability of the characteristics of the analysed phenomena under the impact of the change in the composition of territorial units. The article indicates four conditions which need to be fulfilled if the correctness of spatial analyses is to be maintained. Also, the paper introduces the concept of the quasi composition of regions (QCR). It was defined as a set of particular compositions of territorial units for subsequent aggregation scales. Particular compositions of territorial units are selected in a way that allows a correct analysis within the undertaken research problem to be conducted. The chief asset of the paper is the proposal to redefine the concept of the modifiable areal unit problem. Both the scale problem and the aggregation problem were linked to the accepted quasi composition of regions. The redefinition of the concept is vital for the research conducted since analysing phenomena based on compositions of territorial units which are excluded from the quasi composition of regions leads to the formulation of incorrect conclusions. Within the undertaken research problem there exists only one particular composition of territorial units which allows the identification and description of the dependence for analysed phenomena. Within the considered modifiable areal unit problem two potential problems were defined and they can occur while making spatial analyses. The first is the final areal interpretation problem (FAIP) that occurs when the characteristics of phenomena or the dependence are designated for too large region. The other issue is the aggregation scale interpretation problem (ASIP). It occurs when a quasi composition of regions is enlarged by an aggregation scale where the correctness of the results of the undertaken research problem is not preserved. In both cases it is possible to reach a situation where the obtained characteristics will be deprived of the cognitive value.


Cancers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 451
Author(s):  
Noemi Laprovitera ◽  
Mattia Riefolo ◽  
Elisa Ambrosini ◽  
Christiane Klec ◽  
Martin Pichler ◽  
...  

Distant metastases are the main cause of cancer-related deaths in patients with advanced tumors. A standard diagnostic workup usually contains the identification of the tissue-of-origin of metastatic tumors, although under certain circumstances, it remains elusive. This disease setting is defined as cancer of unknown primary (CUP). Accounting for approximately 3–5% of all cancer diagnoses, CUPs are characterized by an aggressive clinical behavior and represent a real therapeutic challenge. The lack of determination of a tissue of origin precludes CUP patients from specific evidence-based therapeutic options or access to clinical trial, which significantly impacts their life expectancy. In the era of precision medicine, it is essential to characterize CUP molecular features, including the expression profile of non-coding RNAs, to improve our understanding of CUP biology and identify novel therapeutic strategies. This review article sheds light on this enigmatic disease by summarizing the current knowledge on CUPs focusing on recent discoveries and emerging diagnostic strategies.


2021 ◽  
pp. 854-855
Author(s):  
Martin A. Andresen

2021 ◽  
Vol 13 (12) ◽  
pp. 6930
Author(s):  
Shinsuke Kyoi

This study evaluates people’s preferences regarding the proximity of their residence to agricultural urban green infrastructure (UGI), such as agricultural land and satoyama, and discusses the availability of these types of land as UGI. UGI is vital for reducing the negative environmental impacts of urban areas, as these impacts are too large to ignore. In this study, we conducted an online survey and a choice experiment to investigate people’s perceptions regarding the proximity of their residence to agricultural UGI (AUGI). The respondents of the choice experiment were 802 inhabitants of Ishikawa Prefecture, Japan, which has rich agricultural resources. To examine explicitly the spatial autocorrelation of people’s preferences, in this study, we used the spatial econometrics method. The main empirical findings are that people prefer agricultural land far away from their residence—more than 1000 m, not within 1000 m—which reflects the not-in-my-backyard phenomenon. Meanwhile, people’s preferences regarding proximity to satoyama are complicated and their preferences are positively spatially autocorrelated. The results indicate that policymakers and urban planners should manage and provide AUGI far away from residential areas; otherwise, they must address people’s avoidance of neighboring AUGI.


Water ◽  
2015 ◽  
Vol 7 (12) ◽  
pp. 898-917 ◽  
Author(s):  
Aura Salmivaara ◽  
Miina Porkka ◽  
Matti Kummu ◽  
Marko Keskinen ◽  
Joseph Guillaume ◽  
...  

1995 ◽  
Vol 198 (1) ◽  
pp. 213-219 ◽  
Author(s):  
G Walsberg ◽  
B Wolf

Determination of animal power consumption by indirect calorimetry relies upon accurate estimation of the thermal equivalent of oxygen consumed or carbon dioxide produced. This estimate is typically based upon measurement or assumption of the respiratory quotient (RQ), the ratio of CO2 produced to O2 consumed. This ratio is used to indicate the mixture of lipids, carbohydrates and proteins in the metabolic substrate. In this analysis, we report the RQ for two bird species, Passer domesticus and Auriparus flaviceps, under several dietary and fasting regimes. RQ commonly differed substantially from those typically assumed in studies of energy metabolism and often included values below those explainable by current knowledge. Errors that could result from these unexpected RQ values can be large and could present the primary limit to the accuracy of power consumption estimates based upon measurement of carbon dioxide production.


Author(s):  
Ming Zhang ◽  
Nishant Kukadia

There is growing interest in incorporating urban form indicators into transportation planning and travel analysis. These indicators typically are measured at a certain level of spatial aggregation (e.g., traffic analysis zone) and therefore are subject to the modifiable areal unit problem (MAUP) known primarily in the statistical and geographic literature but generally overlooked by transportation researchers. The presence of the MAUP can cause serious inconsistency in analytical results and consequently misinform policy making. This study diagnoses the MAUP in measuring urban form through empirical modeling of travel mode choice in the Boston, Massachusetts, region. Using data aggregated in grids with five cell sizes and at the transportation analysis zone, the census block group, and the block level, the study explores the sensitivity of coefficient estimates for population density, network pattern, and land use balance to data aggregation in predicting mode choice decisions. Having confirmed the presence of the MAUP, the study discusses three approaches for dealing with it. Using a grid with a cell size of 1/2 mi appears to be the most desirable method of data aggregation among the eight methods studied. The suggested improvements in methodology will help advance the inquiry on the link between urban form and travel.


PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207377 ◽  
Author(s):  
Juan C. Duque ◽  
Henry Laniado ◽  
Adriano Polo

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