data and their mutual relations. The advantage of geospatial science is its open
character allowing to implement an unlimited number of available attributes and
update the data on one side, and to visualize both data, and partial and/or final
results of analyses and modelling using spatial and non-spatial data.
The application of remote sensing data and city maps data allows for the use of
knowledge of urban architects to map the land use of urban areas. City maps
combined with aerial photographs – show and help to interpret individual land
use classes. Aerial photographs are – unlike city maps – accurately dated and that is
necessary for additional analyses with other data. GIS analysis are a very good
method how to find trends in the spatial development of features occurring on the
earth, in individual countries, or regions. The key point is to decide what spatial/
remote sensing data are suitable, especially their scale and thus spatial resolution,
spectral bands, and temporal resolution, and to choose other data describing the
features. As there are various data with similar spatial and spectral characteristics
(aerial photographs and VHR data, e.g.), temporal resolution and price can become
the decisive issue.
Acknowledgments The chapter presents results of the COST project with support of The
Ministry of Education, Youth and Sports: Modelling of urban areas to lower the negative
influences of human activities (OC10011)
References
Anthony RM (2014) Bringing up the past: political experience and the distribution of urban
populations. Cities 37:33–46
Banister D (2011a) Cities, mobility and climate change. J Transp Geogr 19:1538–1546
Banister D (2011b) The trilogy of distance, speed and time. J Transp Geogr 19:950–959
Banister D, Anderton K, Bonilla D, Givoni M, Schwanen T (2011) Transportation and the
environment. Annu Rev Environ Resour 36:247–270
Barla P, Miranda-Moreno LF, Lee-Gosselin M (2011) Urban travel CO2 emissions and land use: a
case study for Quebec City. Transp Res D-Transp Environ 16(6):423–428
Ewing R, Cervero R (2010) Travel and the built environment. J Am Plann Assoc 76(3):265–294
Fan F, Wang Y, Qiu M, Wang Z (2009) Evaluating the temporal and spatial urban expansion
patterns of Guangzhou from 1979 to 2003 by remote sensing and GIS methods. Int J Geogr Inf
Sci 23:1371–1388
Gallez C, Kaufmann V, Maksim H, Thebe ´rt M, Guerrinha C (2013) Coordinating transport and
urban planning: from ideologies to local realities. Eur Plan Stud 21(8):1235–1255
Halounova ´ L, Holubec V, Te ˇhle M, R ˇ eha ´k M, Vepr ˇek K (2013) Atlas of urban development in
Czech cities (since 60-ies of the 20th century). FCE CTU in Prague, Prague. ISBN: 978-80-0105177-1
Handy SL (1992) Regional versus local accessibility: neo-traditional development and its implications for non-work travel. Built Environ 18(4):253–267
Jacobson E (2003) The transportation-land use connection. Transportation and Growth Management, School of Urban Studies and Planning, College of Urban and Public Affairs, Portland
State University
Kitamura R, Mokhtarian PL, Laidet L (1997) A micro-analysis of land use and travel in five
neighborhoods in the San Francisco Bay Area. Transportation 24(2):125–158
108
L. Halounova ´ and V. Holubec
character allowing to implement an unlimited number of available attributes and
update the data on one side, and to visualize both data, and partial and/or final
results of analyses and modelling using spatial and non-spatial data.
The application of remote sensing data and city maps data allows for the use of
knowledge of urban architects to map the land use of urban areas. City maps
combined with aerial photographs – show and help to interpret individual land
use classes. Aerial photographs are – unlike city maps – accurately dated and that is
necessary for additional analyses with other data. GIS analysis are a very good
method how to find trends in the spatial development of features occurring on the
earth, in individual countries, or regions. The key point is to decide what spatial/
remote sensing data are suitable, especially their scale and thus spatial resolution,
spectral bands, and temporal resolution, and to choose other data describing the
features. As there are various data with similar spatial and spectral characteristics
(aerial photographs and VHR data, e.g.), temporal resolution and price can become
the decisive issue.
Acknowledgments The chapter presents results of the COST project with support of The
Ministry of Education, Youth and Sports: Modelling of urban areas to lower the negative
influences of human activities (OC10011)
References
Anthony RM (2014) Bringing up the past: political experience and the distribution of urban
populations. Cities 37:33–46
Banister D (2011a) Cities, mobility and climate change. J Transp Geogr 19:1538–1546
Banister D (2011b) The trilogy of distance, speed and time. J Transp Geogr 19:950–959
Banister D, Anderton K, Bonilla D, Givoni M, Schwanen T (2011) Transportation and the
environment. Annu Rev Environ Resour 36:247–270
Barla P, Miranda-Moreno LF, Lee-Gosselin M (2011) Urban travel CO2 emissions and land use: a
case study for Quebec City. Transp Res D-Transp Environ 16(6):423–428
Ewing R, Cervero R (2010) Travel and the built environment. J Am Plann Assoc 76(3):265–294
Fan F, Wang Y, Qiu M, Wang Z (2009) Evaluating the temporal and spatial urban expansion
patterns of Guangzhou from 1979 to 2003 by remote sensing and GIS methods. Int J Geogr Inf
Sci 23:1371–1388
Gallez C, Kaufmann V, Maksim H, Thebe ´rt M, Guerrinha C (2013) Coordinating transport and
urban planning: from ideologies to local realities. Eur Plan Stud 21(8):1235–1255
Halounova ´ L, Holubec V, Te ˇhle M, R ˇ eha ´k M, Vepr ˇek K (2013) Atlas of urban development in
Czech cities (since 60-ies of the 20th century). FCE CTU in Prague, Prague. ISBN: 978-80-0105177-1
Handy SL (1992) Regional versus local accessibility: neo-traditional development and its implications for non-work travel. Built Environ 18(4):253–267
Jacobson E (2003) The transportation-land use connection. Transportation and Growth Management, School of Urban Studies and Planning, College of Urban and Public Affairs, Portland
State University
Kitamura R, Mokhtarian PL, Laidet L (1997) A micro-analysis of land use and travel in five
neighborhoods in the San Francisco Bay Area. Transportation 24(2):125–158
108
L. Halounova ´ and V. Holubec