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Displaying 456 - 460 of 2258Exploring the Sensitivity of Recurrent Neural Network Models for Forecasting Land Cover Change
Recurrent Neural Networks (RNNs), including Long Short-Term Memory (LSTM) architectures, have obtained successful outcomes in timeseries analysis tasks. While RNNs demonstrated favourable performance for Land Cover (LC) change analyses, few studies have explored or quantified the geospatial data characteristics required to utilize this method. Likewise, many studies utilize overall measures of accuracy rather than metrics accounting for the slow or sparse changes of LC that are typically observed.
Strategies of Landscape Planning in Peri-Urban Rural Tourism: A Comparison between Two Villages in China
Landscapes have multiple functions relating to natural preservation and cultural inheritance, which are fundamental factors for tourist development. Particularly in villages, rural tourism is primarily based on the rural landscape. However, peri-urban villages face complex conflicts of urbanization and ruralism, in which landscapes are dynamic and need synergistic plans and management. Thus, this research contributes to a better understanding of comprehensive landscape planning integrating natural and cultural dimensions in peri-urban villages.
Relationships between Morphostructural/Geological Framework and Landslide Types: Historical Landslides in the Hilly Piedmont Area of Abruzzo Region (Central Italy)
Landslides are a widespread natural phenomenon that play an important role in landscape evolution and are responsible for several casualties and damages. The Abruzzo Region (Central Italy) is largely affected by different types of landslides from mountainous to coastal areas. In particular, the hilly piedmont area is characterized by active geomorphological processes, mostly represented by slope instabilities related to mechanisms and factors that control their evolution in different physiographic and geological–structural conditions.
Influence of the Cadastral Value of the Urban Land and Neighborhood Characteristics on the Mean House Mortgage Appraisal
As house mortgage appraisal values have played a leading role in the 2007–2012 financial crisis, it is important to develop robust mass appraisal models that correctly estimate these values. The present paper intends to propose a methodology to examine the spatial distribution of house mortgage appraisal values. To do so, we analyzed the effect that these values, cadastral urban land values, characteristics of houses, and socioeconomic conditions and services in neighborhoods, have on house mortgage appraisal values in the 70 boroughs of Valencia (Spain).
Editorial for Special Issue: “Collaboration and Multi-Stakeholder Engagement in Landscape Governance and Management in Africa: Lessons from Practice”
A multitude of interconnected socio-economic and environmental impacts are emerging across Africa as a result of escalating anthropogenic drivers of global and local change [...]