Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models

Art�culos similares

Spatial Disaggregation of Historical Census Data Leveraging Multiple Sources of Ancillary Information

Acceso

Jo�o Monteiro, Bruno Martins, Patricia Murrieta-Flores and Jo�o M. Pires

High-resolution population grids built from historical census data can ease the analyses of geographical population changes, at the same time also facilitating the combination of population data with other GIS layers to perform analyses on a wide range o... ver m�s

Revista: ISPRS International Journal of Geo-Information

Estimating Hilly Areas Population Using a Dasymetric Mapping Approach: A Case of Sri Lanka?s Highest Mountain Range

Acceso

Ananda Karunarathne and Gunhak Lee

Since populations in the developing world have been rapidly increasing, accurately determining the population distribution is becoming more critical for many countries. One of the most widely used population density estimation methods is dasymetric mappi... ver m�s

Revista: ISPRS International Journal of Geo-Information

Multi-level urban models: Integration across space, time and policies

Acceso

Michael Wegener, Klaus Spiekermann

Urban and regional models have been developed for different policy fields at different levels of spatial and temporal resolution. But it has become apparent that policies interact across space and time and need to be modelled together. The first urban an... ver m�s

Revista: Journal of Transport and Land Use

Developing Intensity?Duration?Frequency (IDF) Curves under Climate Change Uncertainty: The Case of Bangkok, Thailand

Acceso

Ashish Shrestha, Mukand Singh Babel, Sutat Weesakul and Zoran Vojinovic

The magnitude and frequency of hydrological events are expected to increase in coming years due to climate change in megacities of Asia. Intensity?Duration?Frequency (IDF) curves represent essential means to study effects on the performance of drainage s... ver m�s

Revista: Water

Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models

Acceso

Sungwon Kim and Vijay P. Singh

The objective of this study is to develop artificial neural network (ANN) models, including multilayer perceptron (MLP) and Kohonen self-organizing feature map (KSOFM), for spatial disaggregation of areal rainfall in the Wi-stream catchment, an Internati... ver m�s

Revista: Water

Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models

Art�culos similares

Revistas destacadas