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The Scanian Economic-Demographic Database (SEDD) has been assembled by the Centre for Economic Demography (CED), Lund University. It contains information about the demographic and economic conditions of people that have lived in 5 parishes in Scania from the 17th century until the present. The SEDD database has been integrated with geographic data, which are digitized from four independent histori
Digital 3D city models are used in many GIS applications, such as urban planning. Manual digitization of 3D buildings is rather tedious, hence automated approaches are much preferred. In this study, a pipeline for automated extraction and estimation of building roof facets from LIDAR data are devised based on available methods and ideas, which is part of the entire frame work of automatic creating
The Intermediate Data Structure (IDS) was developed as a strategy aimed at standardizing the dissemination of micro-level historical demographic data. The structure provides a common and clear data strategy which facilitates studies that consider several databases, and the development and exchange of software. Based on my own experiences from working with the IDS, in this article I provide reflect
Wavelet approaches have been successfully applied to the detection of brain activity in fMRI data. Spatial activation patterns have a compact representation in the wavelet domain. However, classical wavelets designed for regular Euclidean spaces are not optimal for the topologically complicated gray-matter (GM) domain where activation is expected. We hypothesized that wavelet bases that are adapte
Analyses of foraminiferal assemblages have often been implemented on dry samples, which are easy to split. In some cases, the wet-picking method is preferred as it allows the preservation of more foraminiferal forms and facilitates the picking of live foraminifera. However, the increased execution time needed for wet picking may cause micropalaeontologists to refrain from employing it in a routine
This study presents a new land cover map for the Upper Paraná River Basin (UPRB-2015), with high spatial resolution (30 m), and a high number of calibration and validation sites. To the new map, 50 Landsat-8 scenes were classified with the Support Vector Machine (SVM) algorithm and their level of agreement was assessed using overall accuracy and Kappa coefficient. The generated map was compared by
Characterization of material structure with X-ray or neutron scattering using e.g. Pair Distribution Function (PDF) analysis most often rely on refining a structure model against an experimental dataset. However, identifying a suitable model is often a bottleneck. Recently, automated approaches have made it possible to test thousands of models for each dataset, but these methods are computationall
This paper explores the processing of sensitive personal data for genealogical purposes by studying how the privacy policies of three direct-to-consumer genetic testing companies relate to the general Data Protection Regulation (GDPR). The methodological approach is content analysis. The privacy policies are analysed in relation to the three core principles of 1) adherence to GDPR; 2) transparent
Disruptions in gut microbiome are implicated in cardiometabolic disorders and other health outcomes. Antibiotics are known gut microbiome disruptors, but their long-term consequences remain underexplored. Here we combined individual-level data from the Swedish Prescribed Drug Register with fecal metagenomes of 14,979 adults to examine the association between oral antibiotic use over 8 years and gu
This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. The models are quite successful at predicting test data, achieving F1-scores in the range of 70 %
Taxonomic profiling is a key component of ancient metagenomic analysis, however it is also susceptible to false-positive identifications. In particular, taxonomic classification tools from the Kraken family, such as Kraken2 and KrakenUniq, are highly sensitive to the choice of filtering options. To address this issue, various filtering approaches have been proposed. In this study, I conduct a comp
Deforestation monitoring is of significant importance for the ecosystem, climate change,and policy-making. The availability of optical and synthetic aperture radar (SAR) satellite remote sensing images, along with the development of time series change detection methods, has contributed to the increasing popularity of time series analysis in forest disturbance monitoring. However, there are few stu
Background: Vietnam has achieved considerable success in economic development, poverty reduction, and health over a relatively short period of time. However, there is concern that inequalities in health outcomes and intervention coverage are widening. This study explores if inequalities in reproductive, maternal, newborn and child health and nutrition changed over time in Vietnam in 1997-2006, and
Mapping coastal inlets and their catchment areas is essential for management of the coastal zone. The coastal inlets are important channels of exchange of nutrients, water and sediment between the land and sea. They are also important elements of the coastal hydrological system and play a vital role in controlling the water flow into the sea during floods. Blocking of the coastal inlets is one of
Alla verksamheter som behandlar personuppgifter, men en anknytning till EU, måste uppfylla kravet på laglighet i GDPR. En särskilt viktig laglig grund i praktiken utgörs av artikel 6.1(f) GDPR. I korthet följer av artikeln att en av-vägning måste göras mellan den personuppgiftsansvariges berättigade intresse och den registrerades intressen och grundläggande rättigheter. Idag använder allt fler föAny businesses that process personal data, with a connection to the EU, must fulfill the legality requirement of the GDPR. A particularly important legal basis in practice is Article 6.1(f) GDPR. In short, the article requires a balance to be struck between the legitimate interest of the controller and the fundamental rights and interests of the data subject. Today, more and more companies are u
Analyzing genomic data across populations is central to understanding the role of genetic factors in health and disease. Successful data sharing relies on public support, which requires attention to whether people around the world are willing to donate their data that are then subsequently shared with others for research. However, studies of such public perceptions are geographically limited and d
Professor Kontaktinformation E-post: robert [dot] klemmensen [at] svet [dot] lu [dot] seOrganisation Statsvetenskapliga institutionen Hämtställe: 31 WebbplatsRobert Klemmensens profil i Lunds universitets forskningsportalAndra roller Medlem i Strategiskt forskningsområde eSSENCE: The e-Science Collaboration Profilområdesmedlem LU profilområde: Naturlig och artificiell kognitionJag är intresserad a
https://www.svet.lu.se/robert-klemmensen - 2026-07-14
The report presents the results of a review of the study methods related to vulnerable road user safety that are used today and aims to link accident causation factors to VRU accident risk. The review covered the following categories of study methods: epidemiological studies based on accident and injury data; in-depth accident investigations; naturalistic driving studies; behavioural observations;
