Knowledge and space in models of regional development

New knowledge is recognized as an important resource of positive dynamics the territory development. As a result becomes element economic models that try to summarize regularities growth and development regions, cities countries. The article provides structured analysis well known research regional development, which combines factors space. It studies ways including space in models, where object observation territorial social system, enterprise or agent possessing knowledge. Models balanced growth, econometric ones with maximization aim are shown. At same time autocorrelation regressive can be used help assess heterogeneity innovation regions identify influence zones. methods modeling general (industry) for territories different level, global local external effects, geographic identity types, through alternative costs, monopoly industrial impact competition diversity, ‘filter’ revealed. Space characteristics proliferation modeled functions activity resistance, flexibility parameter, function distance fading, parameter transaction costs transfer.