Search results for "Exploratory data analysis"
showing 6 items of 16 documents
The Raising Factor, That Great Unknown. A Guided Activity for Undergraduate Students
2020
In the first years of their economics degree programs, students will face many problems successfully dealing with a range of subjects with quantitative content. Specifically, in the field of statistics, difficulties to reach some basic academic achievements have been observed. Hence, a continuing challenge for statistics teachers is how to make this subject more appealing for students through the design and implementation of new teaching methodologies. The latter tend to follow two main approaches. On the one hand, it is useful for the learning process to propose practical activities that can connect theoretical concepts with real applications in the economic context. On the other hand, we …
Recent applications of point process methods in forestry statistics
2000
Forestry statistics is an important field of applied statistics with a long tradition. Many forestry problems can be solved by means of point processes or marked point processes. There, the "points" are tree locations and the "marks" are tree characteristics such as diameter at breast height or degree of damage by environmental factors. Point pro- cess characteristics are valuable tools for exploratory data analysis in forestry, for describing the variability of forest stands and for under- standing and quantifying ecological relationships. Models of point pro- cesses are also an important basis of modern single-tree modeling, that gives simulation tools for the investigation of forest stru…
40 years of time geography: from the conceptual framework to the GI Science contributions
2011
International audience; Social scientists studying the effects of space on human behavior usually consider the time dimension as an external factor. Activities are analyzed in an aggregate sense such that the process of individual decision-making is depicted as the single case of "the average individual." In order to link efficiently space and time dimensions, Torsten Hägerstrand defined in 1970's the concept of Time Geography and thereby founded the school of Swedish geography. His conceptual framework was destined to change the course of history in the social sciences. After 40 years, this success has transcended scientific boundaries. In this paper, we propose to review the evolution of …
Exporatory data analysis of environmental governance at local level in the south -west region of Poland
2018
Prowadzenie zintegrowanych działań w ramach zrównoważonego rozwoju wymaga obiektywnego rozpoznania potrzeb ich wdrażania na podstawie wyników kompleksowych analiz wielu złożonych, powiązanych ze sobą czynników odzwierciedlających stan środowiska przyrodniczego i sytuację ekonomiczno-demograficzną. Wzrastająca funkcjonalność Systemów Informacji Geograficznej (GIS) spowodowała, że bazy danych GIS stały się narzędziem wspierającym implementację działań z zakresu zrównoważonego rozwoju. Celem pracy było rozpoznanie zmienności przestrzennej poziomu ładu środowiskowego w południowo-zachodnim regionie Polski. Zastosowano metody badań z zakresu wielowymiarowych technik eksploracji danych i analizy …
Spatial Diversity of Environmental Governance in the Aspect of Sustainable Development of the Polish-Czech Border Area
2018
The current action plan for implementing sustainable development is the “Agenda for Sustainable Development 2030” includes the goals which determine the three dimensions of sustainable development, i.e. economic, social and environmental. Dynamically developing Geographic Information Systems (GIS) and widespread availability of spatial information resources are analytical tools supporting the monitoring and implementation of these objectives and are widely applicable in this research area. The aim of the study was to determine the spatial diversity of the environmental governance level and its components in the following areas: climate change, energy, air protection, land use, biodiversity …
Estimation of wind velocity over a complex terrain using the Generalized Mapping Regressor
2010
Abstract Wind energy evaluation is an important goal in the conversion of energy systems to more environmentally friendly solutions. In this paper, we present a novel approach to wind speed spatial estimation on the isle of Sicily (Italy): an incremental self-organizing neural network (Generalized Mapping Regressor – GMR) is coupled with exploratory data analysis techniques in order to obtain a map of the spatial distribution of the average wind speed over the entire region. First, the topographic surface of the island was modelled using two different neural techniques and by exploiting the information extracted from a digital elevation model of the region. Then, GMR was used for automatic …