Lidia Diappi – författare

Geocomputation has come of age. The whirlwind of change experienced in Geographical Information Science (GIS) - developments in IT, and new data gathering and earth observing technologies - has taken GIS beyond mere data and towards its analysis, modeling, and use in problem solving. Geocomputation is now at the dynamic edge of this revolution. Bringing together the leading researchers in geocomputation, this volume provides an up-to-date overview of the development of new artificial intelligence principles and technologies (NN, CA, Multi-agent Systems and Evolutionary Algorithms) used for the analysis, development and evaluation of urban planning policies and programmes. Charting the new approaches to data-processing, the book provides pointers on how to harness these technologies, advancing the knowledge level of planning by multiplying the information capacity of GIS, and offering a new approach to territorial modeling and micro-scale descriptions of socio-economic, behavioural and micro-spatial theories of urban processes and land use change.

Geocomputation has come of age. The whirlwind of change experienced in Geographical Information Science (GIS) - developments in IT, and new data gathering and earth observing technologies - has taken GIS beyond mere data and towards its analysis, modeling, and use in problem solving. Geocomputation is now at the dynamic edge of this revolution. Bringing together the leading researchers in geocomputation, this volume provides an up-to-date overview of the development of new artificial intelligence principles and technologies (NN, CA, Multi-agent Systems and Evolutionary Algorithms) used for the analysis, development and evaluation of urban planning policies and programmes. Charting the new approaches to data-processing, the book provides pointers on how to harness these technologies, advancing the knowledge level of planning by multiplying the information capacity of GIS, and offering a new approach to territorial modeling and micro-scale descriptions of socio-economic, behavioural and micro-spatial theories of urban processes and land use change.

Geocomputation has come of age. The whirlwind of change experienced in Geographical Information Science (GIS) - developments in IT, and new data gathering and earth observing technologies - has taken GIS beyond mere data and towards its analysis, modeling, and use in problem solving. Geocomputation is now at the dynamic edge of this revolution. Bringing together the leading researchers in geocomputation, this volume provides an up-to-date overview of the development of new artificial intelligence principles and technologies (NN, CA, Multi-agent Systems and Evolutionary Algorithms) used for the analysis, development and evaluation of urban planning policies and programmes. Charting the new approaches to data-processing, the book provides pointers on how to harness these technologies, advancing the knowledge level of planning by multiplying the information capacity of GIS, and offering a new approach to territorial modeling and micro-scale descriptions of socio-economic, behavioural and micro-spatial theories of urban processes and land use change.

Geocomputation has come of age. The whirlwind of change experienced in Geographical Information Science (GIS) - developments in IT, and new data gathering and earth observing technologies - has taken GIS beyond mere data and towards its analysis, modeling, and use in problem solving. Geocomputation is now at the dynamic edge of this revolution. Bringing together the leading researchers in geocomputation, this volume provides an up-to-date overview of the development of new artificial intelligence principles and technologies (NN, CA, Multi-agent Systems and Evolutionary Algorithms) used for the analysis, development and evaluation of urban planning policies and programmes. Charting the new approaches to data-processing, the book provides pointers on how to harness these technologies, advancing the knowledge level of planning by multiplying the information capacity of GIS, and offering a new approach to territorial modeling and micro-scale descriptions of socio-economic, behavioural and micro-spatial theories of urban processes and land use change.

The housing market, like every market, is the product of thousands of interacting buyers and sellers driven by different interests. But unlike other markets, the housing market is able to profoundly transform the socioeconomic structure and the image of a city. Very often, changes in urban space are the result of the imperceptible operation of a multitude of micro-transformations which act with such great energy and decisiveness that they can transform the ‘DNA’ of entire urban neighborhoods. These qualitative novelties, unpredictable and non-deducible on the basis of the previous properties, are defined emergences. Namely emergence means a ‘pattern formation’ characterized by a self-organizing process driven by non-linear dynamics. This book explores housing market emergence in light of three different phenomena: search for housing, social polarization, and gentrification. The book is divided into two parts. The first part presents contributions on modelling emergence of different phenomena, formalised in multi-agent systems. The second part gathers empirical research and analyses aimed at supporting the findings of the models.

The housing market, like every market, is the product of thousands of interacting buyers and sellers driven by different interests. But unlike other markets, the housing market is able to profoundly transform the socioeconomic structure and the image of a city. Very often, changes in urban space are the result of the imperceptible operation of a multitude of micro-transformations which act with such great energy and decisiveness that they can transform the ‘DNA’ of entire urban neighborhoods. These qualitative novelties, unpredictable and non-deducible on the basis of the previous properties, are defined emergences. Namely emergence means a ‘pattern formation’ characterized by a self-organizing process driven by non-linear dynamics. This book explores housing market emergence in light of three different phenomena: search for housing, social polarization, and gentrification. The book is divided into two parts. The first part presents contributions on modelling emergence of different phenomena, formalised in multi-agent systems. The second part gathers empirical research and analyses aimed at supporting the findings of the models.