[{"id":57,"title":"Re-scaling of model evaluation measures to allow direct comparison of their values","sha":"3f1bf29b47a5a2e80894a925846471f5","user_id":204,"state":"published","body":"Species distribution models are increasingly used in ecology, biogeography and climate change research, and are usually complemented with one or more metrics evaluating their  performance. Not all metrics vary within the same scale of measurement: for example, Cohen’s kappa and the true skill statistic (TSS) may range between -1 and 1, while most other widely used metrics range only between 0 and 1. Values of different measures are thus not directly comparable, and e.g. a kappa or TSS value of 0.6 does not denote (although it may at first sight suggest) lower discriminative accuracy than an area under the curve (AUC) of 0.8. Yet, these measures are often presented side by side without a clear acknowledgement of this scale difference. I propose clearly acknowledging such difference, or else using a simple formula to standardize these measures so that their values can be compared more directly. The following equation converts an evaluation score that ranges from -1 to 1 into its corresponding value in the 0-to-1 scale: (score+1)/2. Conversion can also be done the other way around with 2*(score-0.5). This standardization is implemented in the *modEvA* package for R (currently available on [R-Forge](http://modeva.r-forge.r-project.org/)), both as an independent function and as an option within other functions that compute and compare model evaluation measures.","created_at":"2015-02-18T12:23:32.429Z","updated_at":"2019-01-08T18:14:53.184Z","zenodo_id":23044,"doi":"http://dx.doi.org/10.5281/zenodo.15487","subject":null,"tags":["model","evaluation","performance"],"vote_count":6,"view_count":1,"score":6.1,"deleted":false,"muted":false,"tweeted":false,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null},{"id":29,"title":"Regional seismic landslide volume calculation model and its application","sha":"a6d9bd8231a4a0e46e7c3a0ee8573eda","user_id":68,"state":"published","body":"It is indicated that more than 197,000 landslides triggered by the 2008 Wenchuan earthquake (Ms 8.0) in China base on our latest result ([Xu et al., 2014](http://link.springer.com/article/10.1007/s10346-013-0404-6)). There is important scientific significance and practical value to build a new regional seismic landslide volume calculation model and calculate regional landslides deposit volume distribution related with the earthquake. First of all, a detailed inventory of landslides triggered by the earthquake and the landslide property database, containing three dimensional geometric factors and controlling parameters of all landslides, were established using remote sensing and Geographical Information Systems (GIS) technologies combined with selected field measurements. The second, hundreds of landslide, selected as samples for subsequent landslide volume model training, were obtained according to the topographic differences before and after landslide occurrence. And then, landslide volume calculation mathematical model was constructed based on the relationship between landslide volume and three-dimensional geometric factors and controlling parameters, and constants of the model were calculated using the above landslide volume samples and statistical method. The method can be applied in similar study of other regional seismic landslide events. Finally, the model was used in all landslides triggered by the earthquake for landslides volume calculation, and landslide accumulation volume contours were constructed eventually. ","created_at":"2015-02-13T05:55:17.077Z","updated_at":"2023-02-07T02:12:28.948Z","zenodo_id":22148,"doi":"http://dx.doi.org/10.5281/zenodo.15091","subject":null,"tags":["wenchuan","earthquake","landslide","volume","model"],"vote_count":1,"view_count":1,"score":1.1,"deleted":false,"muted":false,"tweeted":false,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null},{"id":32,"title":"The Physics of transport processes","sha":"d31ba7b19dd43e95dad1aedba3c069bd","user_id":107,"state":"published","body":"The physics of transport processes has been and is currently a very important sector in the description and\r\nunderstanding of the “infinitely small and big”. Nanophysics is demonstrating in recent years the richness of\r\nphenomena occurring at the nano-scale. A new formulation of the Drude-Lorentz model offers analytical expressions of the most important transport parameters, i.e. the velocities correlation function, the mean square deviation of position and the diffusion coefficient of a system. The model contains a gauge factor, which allows its use from sub-pico-level to macro-level. With this model it is possible to deeply investigate this range and to study interesting applications, from everyday life to cosmology. Moreover very interesting is also the deep study of the involved mathematics, i.e. contour integration in the complex plane, for finding the poles of studied expressions of conductivity. The procedure is mathematically very elegant, because it is analytical calculation.","created_at":"2015-02-13T18:06:17.147Z","updated_at":"2015-06-16T17:31:26.655Z","zenodo_id":22195,"doi":"http://dx.doi.org/10.5281/zenodo.15106","subject":null,"tags":["science","model"],"vote_count":1,"view_count":1,"score":1.1,"deleted":false,"muted":false,"tweeted":false,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null}]