Spatio-temporal climate and agroclimate diversities over the Zagreb city area
نویسندگان
چکیده
منابع مشابه
Modeling of spatio-temporal of albedo over Iran
The aim of this study is modeling spatiotemporal variations of albedo. This study was conducted using simultaneous effects of several components, such as wetness of surface layer of soil, cloudiness, topography and vegetation density (NDVI), using MEERA2 model with a resolution of 50 in 50 km during 2000-2010 in Iran. The results of spatial analysis of albedo values in Iran showed that the high...
متن کاملUnderstanding City Dynamics through Spatio-temporal Visualization
Every time we visit a new city there is a huge effort made in understanding its dynamic, i.e. what are the relevant locations within that city in each time period, for there are large amounts of data to sift through. Although several attempts have been made to combine information from various sources, the majority focus on geographic data, lacking on time representation. In this paper we descri...
متن کاملQuantifying Spatio-Temporal Changes in Urban Area of Gulbarga City Using Remote Sensing and Spatial Metrics
Due to dramatic increase in urban population and allied urban problems it is essential to have urban planning and management at local level. For this urban planners and decision-makers need efficient tools to quantify, evaluate and compare the impact of alternative plans and designs so that more informed choices can be made. Gulbarga one of the developing city of Karnataka, it is important to k...
متن کاملTracking Spatio-Temporal Diffusion in Climate Data
A forest canopy forms a critical platform for complex interactions between the vegetation and the atmosphere boundary layer and is considered as a crucial piece for environmental scientists in their understanding of the ecosystem and its response to the climate change. Microfronts represent a class of these interactions characterized by a moving mass of air that introduce fluctuations in ambien...
متن کاملSpatio-Temporal Pattern Detection in Climate Data
In this paper, a unique approach to the problem of spatiotemporal pattern detection is discussed in relation to climate data; this can be understood as discovering dependent climate events that occur over space. An accurate solution in this domain will provide climate scientists with highly valuable data which can be used to improve climate models and add to the knowledge base of climate scienc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geographica Pannonica
سال: 2019
ISSN: 0354-8724,1820-7138
DOI: 10.5937/gp23-24253