spatiala
Pitfalls in Spatial Modelling of Ethnocentrism
Journal of Artificial Societies and Social Simulation 16 (3) 2 http://jasss.soc.surrey.ac.uk/16/3/2.html Abstract Ethnocentrism refers to the tendency to behave differently towards strangers based only on
Modes of Re-Territorialisation: Spatial Implications of Regional Competition Politics in Sweden
In Sweden, efforts to develop knowledge based niches have become key elements in an increasingly growth oriented regional/industrial policy. This paper addresses the spatial implications of these chan

Research seminar with Bo Malmberg: Spatial polarization in Sweden
At this seminar, Bo Malmberg discusses what polarization looks like in Sweden, what is driving polarization, and what the consequences are. One conclusion is that areas characterized by concentrated p
Applying spatial regression to evaluate risk factors for microbiological contamination of urban groundwater sources in Juba, South Sudan
Hydrogeology Journal 25(4) pp. 1077-1091, doi: 10.1007/s10040-016-1504-x Abstract This study developed methodology for statistically assessing groundwater contamination mechanisms. It focused on microbiahumanitarian aid organisation Médecins Sans Frontières in 2010. The factors included hydrogeological settings, land use and socio-economic characteristics. The results showed that the residuals of a conventional probit regression model had a significant positive spatial autocorrelation (Moran’s I =3.05, I-stat = 9.28); therefore, a spatial model was developed that had better goodness-of-fit to the observations. The mostsignificant factor in this model (p-value 0.005) was the distance from a water source to the nearest Tukul area, an area with informal settlements that lack sanitation services. It is thus recommended that future remediation and monitoring efforts in the city be concentrated in such low-income regions. The spatial model differed from the conventional approach: in contrast with the latter case, lowland topography was not significant at the 5% level, as the p-value was 0.074 in the spatial model and 0.040 in the traditional model. This study showed that statistical risk-factor assessments of groundwater contamination need to consider spatial interactions when the water sources are located close to each other. Future studies might further investigate the cut-off distance that reflects spatial autocorrelation. Particularly, these results advise research on urban groundwater quality.
Rural Population Growth in Sweden in the 1990s: Unexpected Reality or Spatial-Statistical Chimera
This article addresses the matter of “urban spillover” in rural population development, i.e. how urban localities tend to push a ring of diffuse urban growth outwards as they expand in area. The data
Leaving Rurality Behind: Re-orientation of Spatial Policies in Sweden
The paper will address the changing status of rural regions in policy formation in Sweden, which includes two processes: self-propelling de-population and a shift towards supporting dynamic growth reg
Bo Malmberg: Spatial polarization in Sweden: Patterns, driving forces and consequences
Research seminar with Bo Malmberg, Professor of Geography at Stockholm University. RegisterAbstractAt this seminar, Bo Malmberg discusses what polarization looks like in Sweden, what is driving polariz
Spatial Numerical Associations by Modality: the Differences Between Symbolic and Non-Symbolic Numerical Representations
Quarterly Journal of Experimental Psychology 72 (10), 2423-2436 Abstract During the last decades, there have been a large number of studies into the number-related abilities of humans. As a result, we kn
Welfare States, Social Structure and the Dynamics of Poverty Rates. A comparative study of 16 countries, 1980-2000
This paper attempts to explain temporal and spatial variation of poverty rates in terms of unemployment insurance and socio-demographic factors, and test the ‘convergence hypothesis’ of the poverty ra

Causes and consequences of environmental protests. The global environmental contestation and civic mobilization observatory
Environmental protest events are increasing. Does it have any consequences for policy? With global data-sets, this project will try to answer that question.