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192 results on '"Schuur, J."'

7. Methyl Substitution Destabilizes Alkyl Radicals

Author

Blokker, Eva, primary, van Zeist, Willem‐Jan, additional, Sun, Xiaobo, additional, Poater, Jordi, additional, van der Schuur, J. Martijn, additional, Hamlin, Trevor A., additional, and Bickelhaupt, F. Matthias, additional

Published
2022
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13. Social-emotional characteristics and adjustment of accelerated university students: A systematic review

Author

Schuur, J., Weerdenburg, M.W.C. van, Hoogeveen, A.J.M., Kroesbergen, E.H., Schuur, J., Weerdenburg, M.W.C. van, Hoogeveen, A.J.M., and Kroesbergen, E.H.

Abstract

Contains fulltext : 226125.pdf (publisher's version ) (Closed access), Gifted students who experienced grade-based acceleration in primary or secondary education have to meet the challenges of adjusting to university at a younger age than students who did not accelerate. This systematic review critically evaluates the research on social-emotional characteristics and adjustment of these gifted accelerated university students. Based on a review of 22 studies, we may conclude that accelerated students did not differ very much in domains of social–emotional characteristics from their nonaccelerated gifted and nongifted peers. Factors that facilitated adjustment and well-being were cheerfulness, resilience, self-efficacy, a positive self-concept, high prior academic achievement, and supportive family environment. Furthermore, it was found that studies were incomplete in reporting the previous acceleration experiences of the students and that research on students who individually accelerated by 1 or 2 years was scarce. Future research should include individually accelerated students, previous acceleration experiences, gender differences, and comparison groups.

Published
2021

22. Semi-automated mapping of landforms using multiple point geostatistics

Author

Vannametee, E., Babel, L. V., Hendriks, M. R., Schuur, J., de Jong, S. M., Bierkens, M. F P, Karssenberg, D., Landscape functioning, Geocomputation and Hydrology, Hydrologie, Landdegradatie en aardobservatie, Landscape functioning, Geocomputation and Hydrology, Hydrologie, and Landdegradatie en aardobservatie

Subjects
geography, geography.geographical_feature_category, Landform, Landscape delineation, Geostatistics, Hierarchical database model, Field (geography), Data set, Set (abstract data type), Tree (data structure), SNESIM, Taverne, Buëch, French Alps, Digital elevation model, Multiple point geostatistics, Cartography, Automated landform mapping, Geology, Earth-Surface Processes
Abstract

This study presents an application of a multiple point geostatistics (MPS) to map landforms. MPS uses information at multiple cell locations including morphometric attributes at a target mapping cell, i.e. digital elevation model (DEM) derivatives, and non-morphometric attributes, i.e. landforms at the neighboring cells, to determine the landform. The technique requires a training data set, consisting of a field map of landforms and a DEM. Mapping landforms proceeds in two main steps. First, the number of cells per landform class, associated with a set of observed attributes discretized into classes (e.g. slope class), is retrieved from the training image and stored in a frequency tree, which is a hierarchical database. Second, the algorithm visits the non-mapped cells and assigns to these a realization of a landform class, based on the probability function of landforms conditioned to the observed attributes as retrieved from the frequency tree. The approach was tested using a data set for the Buech catchment in the French Alps. We used four morphometric attributes extracted from a 37.5-m resolution DEM as well as two non-morphometric attributes observed in the neighborhood. The training data set was taken from multiple locations, covering 10% of the total area. The mapping was performed in a stochastic framework, in which 35 map realizations were generated and used to derive the probabilistic map of landforms. Based on this configuration, the technique yielded a map with 51.2% of correct cells, evaluated against the field map of landforms. The mapping accuracy is relatively high at high elevations, compared to the mid-slope and low-lying areas. Debris slope was mapped with the highest accuracy, while MPS shows a low capability in mapping hogback and glacis. The mapping accuracy is highest for training areas with a size of 7.5–10% of the total area. Reducing the size of the training images resulted in a decreased mapping quality, as the frequency database only represents local characteristics of landforms that are not representative for the remaining area. MPS outperforms a rule-based technique that only uses the morphometric attributes at the target mapping cell in the classification (i.e. one-point statistics technique), by 15% of cell accuracy.

Published
2014

24. The future demand for industrial sites in the Netherlands: is employment a good predictor?

Author

Beckers, P.J., Schuur, J., Beckers, P.J., and Schuur, J.

Abstract

16 oktober 2013, Contains fulltext : 120968.pdf (publisher's version ) (Closed access), The future demand for industrial sites in the Netherlands: is employment a good predictor, Regional Studies. Popular forecasting models for long-term planning of industrial sites assume a strong linear relationship between employment and land use. New Dutch panel data for 1997–2008 were used to test this assumption. In a linear model, employment alone does not suffice to predict land use. Non-linear models show a relationship at municipal and industrial sites level, but not for regions. However, the relationship is strongly biased by unobserved heterogeneity. For planning purposes and prediction, additional explanatory variables are necessary to tackle this problem. The findings do not support the use of simple linear models for the planning of industrial sites.

Published
2015

27. Automated geomorphological mapping using Multiple Point Geostatistics

Author

Vannametee, E., Babel, L.C., Karssenberg, D.J., Schuur, J., Hendriks, M.R., and Bierkens, M.F.P.

Subjects
Aardwetenschappen
Abstract

The geomorphological map is an important tool for studying land-surface processes. Automated mapping ensures a consistent mapping scheme with a reduced field survey time...

Published
2012

31. Semi-automated mapping of landforms using multiple point geostatistics

Author

Landscape functioning, Geocomputation and Hydrology, Hydrologie, Landdegradatie en aardobservatie, Vannametee, E., Babel, L. V., Hendriks, M. R., Schuur, J., de Jong, S. M., Bierkens, M. F P, Karssenberg, D., Landscape functioning, Geocomputation and Hydrology, Hydrologie, Landdegradatie en aardobservatie, Vannametee, E., Babel, L. V., Hendriks, M. R., Schuur, J., de Jong, S. M., Bierkens, M. F P, and Karssenberg, D.

Published
2014

33. List of Participants

Author

ABRAMOVICH, S., primary, ALBERT, J., additional, BARRERA, P., additional, BEDNAREK, A.R., additional, BERNFELD, S.R., additional, BIBIKOV, Y.N., additional, BLOCK, L., additional, BOWMAN, T.T., additional, BROWN, R.C., additional, CESARI, L., additional, CHANDRA, J., additional, CHEN, R., additional, CHOW, S., additional, CHUKWU, E.N., additional, COOKE, K.L., additional, DAFERMOS, C., additional, DATKO, R.F., additional, DEFIGUEIREDO, D.G., additional, DEVRIES, R., additional, DRAPER, J., additional, DRIVER, R.D., additional, DUNKELBERG, P., additional, ELDERKIN, R.H., additional, ERMENTROUT, G.B., additional, FENNELL, R.E., additional, GOOR, R., additional, GRAEF, J.R., additional, GREGORY, J., additional, GROST, M., additional, GUPTA, C.P., additional, HAIGH, T., additional, HALE, J.K., additional, HALLAM, T.G., additional, HEMP, G., additional, HENDERSON, G.P., additional, HERMANO, F., additional, HERMES, H., additional, HEYMANN, M., additional, INCIURA, J., additional, INFANTE, E.F., additional, IZE, A.F., additional, JONES, J., additional, KALMAN, R., additional, KANNAN, R., additional, KATO, J., additional, KEESLING, J., additional, KIRCHGASSNER, K.W., additional, KNIGHTLY, G.H., additional, KNOBLOCH, H.W., additional, KOLZOW, D., additional, KU, D., additional, LAKSHMIKANTHAM, V., additional, LANGFORD, W.F., additional, LaSALLE, J.P., additional, LEE, J., additional, LIST, S., additional, LOPES, O.F., additional, LOUD, W.S., additional, LOVELADY, D.L., additional, LUEHR, C., additional, McCALLA, C., additional, McCANN, R.C., additional, McKENNA, P.J., additional, MAJUMDAR, A.K., additional, MALLET-PARET, J., additional, MANITIUS, A., additional, MATSUMOTO, T., additional, MAWHIN, J., additional, MELVIN, P.J., additional, MILLSAPS, K.T., additional, MORGAN, A.P., additional, NAUGLER, D.R., additional, NEUMANN, D., additional, NITECKI, Z., additional, NUSSBAUM, R.D., additional, POPOV, V.M., additional, POP-STOJANOVIC, Z.R., additional, PRAGER, W., additional, PROCTOR, T.G., additional, RABINOWITZ, P., additional, RANKIN, S.M., additional, RENEKE, J.A., additional, ROBERTSON, M., additional, ROHDE, F.V., additional, ROTHE, E.H., additional, ROXIN, E.O., additional, SABBAGH, L.D., additional, SAPIRO, R., additional, SCHUUR, J., additional, SEIFERT, G., additional, SIMON, CARL, additional, SOMOLINOS, A., additional, SONTAG, E., additional, SPIKES, P., additional, STECHER, M.J., additional, STERN, R.J., additional, SURYANARAYANA, M.B., additional, SVERDLOVE, R., additional, UNDERWOOD, R., additional, WALKER, J.A., additional, WAN, Y.H., additional, WEINBERGER, H.G., additional, WELLER, G., additional, YAMAMOTO, Y., additional, YOON, Y.J., additional, YORKE, J., additional, YOUNG, E.C., additional, and ZWEIFEL, P., additional

Published
1977
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