Skip to main content

Advertisement

Log in

Analyzing Spatiotemporal Patterns of Urbanization in Treasure Valley, Idaho, USA

  • Published:
Applied Spatial Analysis and Policy Aims and scope Submit manuscript

Abstract

Knowledge of spatiotemporal patterns of urbanization in terms of overall urban growth, growth forms (or types) and land use types contributes to an understanding of the consequences of urban growth on human health, biodiversity and natural resources, thereby providing guidance for formulating effective land use policies. In this study, we delineated spatial extent of urban area in Treasure Valley of Idaho for five different years with a decadal interval beginning in 1974 based on remote sensing data. The newly urbanized area during each change period was categorized into three growth forms: edge-expansion, infill and outlying development, and into two built-intensity classes: high and low intensity development. We applied ten class-level landscape metrics to the urban class as a whole. Results show that edge-expansion dominated the growth with more than 60% of new development for each of the four study periods. Infill and outlying growth witnessed a temporal oscillation with an alternating dominance. Despite some regularities observed in spatiotemporal patterns of urban class and urban growth forms, we concluded that diffusion and coalescence are two concurrently occurring processes of urban growth rather than two dichotomous temporal phases. Our study documented that a combined study involving patch dynamics, gradient analysis, and time-series analysis of new development, growth forms and built intensity was effective in identifying different spatiotemporal patterns and associate them to underlying processes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Aguilera, F., Valenzuela, L. M., & Botequilha-Leitao, A. (2011). Landscape metrics in the analysis of urban land use patterns: a case study in a Spanish metropolitan area. Landscape and Urban Planning, 99, 226–238.

    Article  Google Scholar 

  • Aguilera-Benavente, F., Botequilha-Leitao, A., & Diaz-Varela, E. (2014). Detecting multi-scale urban growth patterns and processes in the Algrave region (Southern Portugal). Applied Geography, 53, 234–245.

    Article  Google Scholar 

  • Aina, Y., Van der Merwe, J. & Alshuwaikhat, H. (2008). Urban spatial growth and land use change in Riyadh: comparing spectral angle mapping and band rationing techniques. Proceedings of the Academic Track of the 2008 Free and open source software for geospatial (FOSS4G) conference, Cape Town, South Africa.

  • Anderson, J., Hardy, E., Roach, J., & Witmer, R. (1976). A land use and land cover classification system for use with remote sensor data (28 PP). Washington DC: United States Government Printing Office.

    Google Scholar 

  • Bhatta, B. (2010). Analysis of urban growth and sprawl from remote sensing data (series: advances in geographic information Science). Springer.

  • Botequilha-Leitao, A., Miller, J., Ahern, J., & McGarigal, K. (2006). Measuring landscapes: a Planner’s handbook. London: Island Press.

    Google Scholar 

  • Camagni, R., Gibelli, M. C., & Rigamonti, P. (2002). Urban mobility and urban form: the social and environmental costs of different patterns of urban expansion. Ecological Economics, 40, 199–216.

    Article  Google Scholar 

  • Canyon County (2014). 2020 canyon county comprehensive plan. Accesses September 25, 2014 from: http://www.canyonco.org/Elected-Officials/Commissioners/Departments/Development-Services/Images-and-Docs/2020-CANYON-COUNTY-COMPREHENSIVE-Final.aspx.

  • Cifaldi, R. L., Allan, J., Duh, J. D., & Brown, D. (2004). Spatial patterns in land cover of exurbanizing watersheds in southeastern Michigan. Landscape and Urban Planning, 66, 107–123.

    Article  Google Scholar 

  • City Index (US City Index) (2016). History of the City of Boise. Accessed online on July 2016 from: http://motherearthtravel.com/united_states/boise/history.htm.

  • Clarke, K., Hoppen, S., & Gaydos, L. (1997). A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning. B, Planning & Design, 24, 247–261.

    Article  Google Scholar 

  • COMPASS (Community Planning Association of Southwest Idaho) (2014). Working together to plan for the future project. Accessed September 24, 2014 from: http://www.compassidaho.org/index.html.

  • County, A. (2014). Ada county comprehensive plan November 2007. Accessed September 25, 2014 from: https://adacounty.id.gov/Portals/0/DVS/PLN/Doc/ADA%20COMP%20PLAN%20COMPLETE.pdf.

  • Dahal, K., & Chow, T. E. (2014a). A GIS toolset for automated partitioning of urban lands. Environmental Modelling and Software, 55, 222–234.

    Article  Google Scholar 

  • Dahal, K., & Chow, T. E. (2014b). An agent-integrated irregular automata model of urban land-use dynamics. International Journal of Geographical Information Science, 28, 2281–2301.

    Article  Google Scholar 

  • Dietzel, C., Herold, M., Hemphill, J. J., & Clarke, K. C. (2005a). Spatiotemporal dynamics in California’s Central Valley: empirical links to urban theory. International Journal of Geographical Science, 19, 175–195.

    Article  Google Scholar 

  • Dietzel, C., Oguz, H., Hemphill, J. J., Clarke, K. C., & Gazulis, N. (2005b). Diffusion and coalescence of the Houston metropolitan area: evidence supporting a new urban theory. Environmental Planning B, 32, 231–246.

    Article  Google Scholar 

  • Duany, A., PlaterLZyberk, E., & Speck, J. (2000). Suburban nation: the rise of sprawl and the decline of the American dream. New York: North Point Press.

    Google Scholar 

  • Fan, C., & Myint, S. (2014). A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation. Landscape and Urban Planning, 121, 117–128.

    Article  Google Scholar 

  • Fry, J., Coan, M., Homer, C., Meyer, D., Wickham, J. (2009). Completion of the national land cover database (NLCD) 1992–2001 land cover change retrofit product, U.S. Geological Survey Open-File Report 2008–1379, p 18.

  • Gottdiener, M., & Hutchison, R. (2011). The new urban sociology. Boulder, USA: Westview Press.

    Google Scholar 

  • Grimm, N., Faeth, S., Golubiewski, N., Redman, C., et al. (2008). Global change and ecology of cities. Science, 319, 756–760.

    Article  Google Scholar 

  • Herold, M., Scepan, J., & Clarke, K. C. (2002). The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environment & Planning A, 34, 1443–1458.

    Article  Google Scholar 

  • Homer, C., Dewitz, J., Fry, J., Coan, M., Hossain, N., Larson, C., Herold, N., McKerrow, A., VanDriel, J. N., & Wickham, J. (2007). Completion of the 2001 national land cover database for the conterminous United States. Photogrammetric Engineering and Remote Sensing, 73, 337–341.

    Google Scholar 

  • Dahal, K., Lindquist, E., & Benner, S. (2016). Urban hypotheses and spatiotemporal characterization of urban growth in the Treasure Valley of Idaho, USA. In press (Applied Geography).

  • ISG (Idaho Smart Growth) (2016). Idaho land use analysis. Accessed online on 16 July, 2016 from: http://www.idahosmartgrowth.org/app/uploads/2014/04/idaho_land_use_analysis-_final_summary1.pdf.

  • IWRB (Idaho Water Resources Board) (2010). Treasure valley future water demand. Accessed online on 20 July 2016 from: http://www.idwr.idaho.gov/WaterBoard/WaterPlanning/CAMP/TV_CAMP/PDF/2010/09-29-2010_Water_Demand.pdf

  • Jun, M. J. (2004). The effects of Portland’s urban growth boundary on urban development patterns and commuting. Urban Studies, 41(7), 1333–1348.

    Article  Google Scholar 

  • Kaplan, D., Wheeler, J., & Holloway, S. (2009). Urban geography (Second ed.). New York: John Wiley & Sons.

    Google Scholar 

  • Li, X., & Liu, X. (2007). Defining agents' behaviors to simulate complex residential development using multi-criteria evaluation. Journal of Environmental Management, 85, 1063–1075.

    Article  Google Scholar 

  • Li, C., Li, J., & Wu, J. (2013). Quantifying the speed, growth modes, and landscape pattern changes of urbanization: a hierarchical patch dynamics approach. Landscape Ecology, 28, 1875–1888.

    Article  Google Scholar 

  • Liu, X., Li, X., Chen, Y., Tan, Z., Li, S., & Ai, B. (2010). A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data. Landscape Ecology, 25, 671–682.

    Article  Google Scholar 

  • Lowry, J., & Lowry, M. (2014). Comparing spatial metrics that quantify urban form. Computers, Environment and Urban Systems, 44, 59–67.

    Article  Google Scholar 

  • Luck, M., & Wu, J. (2002). A gradient analysis of urban landscape pattern: a case study from the phoenix metropolitan region, Arizona, USA. Landscape Ecology, 17, 327–339.

    Article  Google Scholar 

  • Lv, Z., Dai, F., & Sun, C. (2012). Evaluation of urban sprawl and urban landscape pattern in a rapidly developing region. Environmental Monitoring and Assessment, 184, 6437–6448.

    Article  Google Scholar 

  • McGarigal, K., Cushman, S. A., Neel, M. C., & Ene, E. (2002). FRAGSTATS: spatial pattern analysis program for categorical maps (3.1st ed.). Amherst: University of Massachusetts.

    Google Scholar 

  • McGarigal, K., Cushman, S. A., & Ene, E. (2012). FRAGSTATS v4: spatial pattern analysis program for categorical and continuous maps. Amherst: Computer software program produced by the authors at the University of Massachusetts Accessed from: http://www.umass.edu/landeco/research/fragstats/fragstats.html.

    Google Scholar 

  • Nassar, A., Blackburn, G., & Whyatt, J. (2015). Developing the desert: the pace and process of urban growth in Dubai. Computers, Environment and Urban Systems, 45, 50–62.

    Article  Google Scholar 

  • NLCD (National Land Cover Database) (2014). Multi-resolution land characteristics consortium’s national land cover database. Accessed September 24 from: http://www.mrlc.gov/nlcd2011.php.

  • Nong, D., Lepczyk, C., Miura, T., Fox, J., Spencer, J., and Chen, Q., 2014. Quantify spatiotemporal patterns of urban growth in Hanoi using time series spatial metrics and urbanization gradient approach. Working Paper No. 1, East-West Center.

  • Paulsen, K. (2014). Geography, policy or market? New evidence on the measurement and causes of sprawl (and infill) in US metropolitan regions. Urban Studies, 51(12), 2629--2645.

  • Rempel, R. S., Kaukinen, D., & Carr, A. P. (2012). Patch analyst and patch grid. Ontario Ministry of Natural Resources. Thunder Bay, Ontario: Center for Northern Forest Ecosystem Research Accessed from: http://www.cnfer.on.ca/SEP/patchanalyst/.

    Google Scholar 

  • Riebsame, W., Robb, J., & Gosnell, H. (1997). Atlas of the new west. New York: W.W. Norton and Company.

    Google Scholar 

  • Seto, K. C., & Fragkias, M. (2005). Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landscape Ecology, 20, 871–888.

    Article  Google Scholar 

  • Seto, K., Fragkias, M., Guneralp, B., & Reilly, M. (2011). A meta-analysis of global urban land expansion. PloS One, 6(8), 1–9.

    Google Scholar 

  • Shallat, T. (2012). Growing small: blueprint Boise breaks an addition to sprawl. The blue review, published 6 December, 2012. Accessed October 27, 2016 from: https://thebluereview.org/no-sprawl/.

  • Shi, Y., Sun, X., Zhu, X., Li, Y., & Mei, L. (2012). Characterizing growth types and analyzing growth density distribution in response to urban growth patterns in peri-urban areas of Lianyungang City. Landscape and Urban Planning, 105, 425–433.

    Article  Google Scholar 

  • Staley, S., Edgens, J. & Mildner, G. (1999). A line in the land: urban growth boundaries, smart growth, and housing affordability. Policy Study No. 263, Reason Public, Policy Institute.

  • Stevens, D., & Dragićević, S. (2007). A GIS-based irregular cellular automata model of land-use change. Environment and Planning. B, Planning & Design, 34, 708–724.

    Article  Google Scholar 

  • Sun, C., Wu, Z., Lv, Z., Yao, N., & Wei, J. (2013). Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 21, 409–417.

    Article  Google Scholar 

  • Tang, B., Wong, S., & Lee, A. (2007). Green belt in a compact city: a zone for conservation or transition? Landscape and Urban Planning, 79(3–4), 358–373.

    Article  Google Scholar 

  • Taubenbock, H., Wegmann, M., Roth, A., Mehl, H., & Dech, S. (2009). Urbanization in India - spatiotemporal analysis using remote sensing data. Computers, Environment and Urban Systems, 33, 179–188.

    Article  Google Scholar 

  • Taubenbock, H., Wiesner, M., Felbier, A., Marconcini, M., Esch, T., & Dech, S. (2014). New dimensions of urban landscapes: the spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data. Applied Geography, 47, 137–153.

    Article  Google Scholar 

  • Torrens, P. (2008). A toolkit for measuring sprawl. Applied Spatial Analysis, 1, 5–36.

    Article  Google Scholar 

  • Triantakonstantis, D., & Mountrakis, G. (2012). Urban growth prediction: a review of computational models and human perceptions. Journal of Geographic Information System, 4, 555–587.

    Article  Google Scholar 

  • ULI (Urban Land Institute, Idaho) (2011). Sustaining agriculture. Accessed online on August 1, 2016 from: http://idahocsa.org/wp-content/uploads/2015/12/Sustaining-Ag_ULIwebpage.pdf.

  • US Census (United States Census Bureau) (2014). State and county quickfacts: data derived from population estimates, American community survey, census of population and housing, county business patterns, economic census, survey of business owners, building permits, census of governments. Obtained September 24, 2014 from: http://quickfacts.census.gov/qfd/states/16000.html.

  • Waring, G. (2011). A natural history of the intermountain west: its ecological and evolutionary story. Salt Lake City: University of Utah Press.

    Google Scholar 

  • Wilson, E. H., Hurd, J., Civco, D. L., Prisloe, M. P., & Arnold, C. (2003). Development of geospatial model to quantify, describe and map urban growth. Remote Sensing of Environment, 86, 275–285.

    Article  Google Scholar 

  • Witt, S. (2011). The role of the state in Idaho Land Use Planning. A publication of the Public Policy Center at Boise State University. Accessed on October 30, 2016 from: https://sps.boisestate.edu/pprc/files/2010/05/StatePlanningPaper.pdf.

  • Wu, J. G., Jenerette, G. D., Buyantuyev, A., & Redman, C. L. (2011). Quantifying spatiotemporal patterns of urbanization: the case of the two fastest growing metropolitan regions in the United States. Ecological Complexity, 8, 1–8.

    Article  Google Scholar 

  • Xu, C., Liu, M. S., Zhang, C., An, S. Q., Yu, W., & Chen, J. M. (2007). The spatiotemporal dynamics of rapid urban growth in the Nanjing metropolitan region of China. Landscape Ecology, 22, 925–937.

    Article  Google Scholar 

  • Xu, C., Fang, S., Long, N., Teng, S., Zhang, M., & Liu, M. (2014.) Spatial patterns of distinct urban growth forms in relation to roads and pre-growth urban areas: case of the Nanjing metropolitan region in China. Journal of Urban Planning and Development

  • Yu, X., & Ng, C. (2007). Spatial and temporal dynamics of urban sprawl along two urban-rural transects: a case study of Guangzhou, China. Landscape and Urban Planning, 79, 96–109.

    Article  Google Scholar 

  • Zhu, M., Xu, J., Jiang, N., Li, J., & Fan, Y. (2006). Impacts of road corridors on urban landscape pattern: a gradient analysis with changing grain size in Shanghai, China. Landscape Ecology, 21, 723–734.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Khila R. Dahal.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dahal, K.R., Benner, S. & Lindquist, E. Analyzing Spatiotemporal Patterns of Urbanization in Treasure Valley, Idaho, USA. Appl. Spatial Analysis 11, 205–226 (2018). https://doi.org/10.1007/s12061-016-9215-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12061-016-9215-1

Keywords

Navigation