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Bryan C. Pijanowski
Department of Forestry and Natural Resources, Purdue University, West Lafayette, USA

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Research article
Published: 26 October 2020 in Earth Science Informatics
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Land change models are amongst the most widely developed tools for spatial decision support. Despite this progress, only a few models have been created thus far that simulate urban growth that incorporate two important aspects of uncertainty inherent to land use dynamics: fuzziness and roughness. Combining fuzziness and roughness into models will enhance the use of these tools for decision support. This study applied and evaluated a fuzzy-based approach to the feature selection effects on the accuracy of a land change model. Fuzzy rough set theory (FRST) was employed here as feature selection method and was integrated with a support vector regression (SVR) algorithm to simulate urban growth of Tabriz mega city in northwest Iran. In order to apply feature selection to a FRST algorithm, incoming data has been first fuzzified by an adaptive neural fuzzy inference system (ANFIS). To evaluate the application of FRST, SVR was used with and without FRST (SVR and SVR-FRST), while for performance evaluation logistic regression (LR) and kernelled LR (KLR) models were integrated with and without FRST (LR, LR-FRST, KLR, and KLR-FRST). The accuracy of the simulated maps of all models were evaluated by calculating the overall accuracy (OA), true positive rate (TPR), true negative rate (TNR), total operating characteristic (TOC) and their area under curve (AUC). The results showed that integrating FRST with the above-mentioned models enhanced the overall performances based on the above criteria. Among the above mentioned models, SVM-FRST and KLR-FRST yielded the best goodness of fit measures. Moreover, SVM-FRST with 83.6% OA, 41.6% TPR, and 90.4% TNR performs better than KLR-FRST with 82.4% OA, 37.4% TPR, and 89.8% TNR. However, KLR-FRST has more AUC, less green area destruction, more barren to urban areas conversion, and fast tuning process related to SVR-FRST. Finally, we suggest that KLR-FRST and SVR-FRST are, among those evaluated, the most appropriate models for urban growth modelling of the Tabriz mega city of Iran when considering uncertainty.

ACS Style

D. Parvinnezhad; M. R. Delavar; B. C. Pijanowski; C. Claramunt. Integration of adaptive neural fuzzy inference system and fuzzy rough set theory with support vector regression to urban growth modelling. Earth Science Informatics 2020, 14, 17 -36.

AMA Style

D. Parvinnezhad, M. R. Delavar, B. C. Pijanowski, C. Claramunt. Integration of adaptive neural fuzzy inference system and fuzzy rough set theory with support vector regression to urban growth modelling. Earth Science Informatics. 2020; 14 (1):17-36.

Chicago/Turabian Style

D. Parvinnezhad; M. R. Delavar; B. C. Pijanowski; C. Claramunt. 2020. "Integration of adaptive neural fuzzy inference system and fuzzy rough set theory with support vector regression to urban growth modelling." Earth Science Informatics 14, no. 1: 17-36.

Journal article
Published: 19 September 2020 in Ecological Indicators
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Unprecedented rates of biodiversity loss and intensifying human attempts to rectify the biodiversity crisis have heightened the need for standardized, large-scale, long-duration biodiversity monitoring at fine temporal resolution. While some innovative technologies such as passive acoustic monitoring are well suited for such monitoring challenges, many questions remain as to how they should be scaled out and optimally implemented across ecosystems. Our research questions center on temporal sampling regimes—how frequently and how long one should collect data to represent biodiversity conditions over a given timeframe. Addressing this concern in the context of passive acoustic monitoring, we investigated whether temporal soundscape variability—the characteristic short-term acoustic change in an environment—is consistent across ecosystems and times of day, and we considered how various temporal subsampling schemes affect the representativeness of resultant acoustic index values, relative to continuous sampling. We quantified soundscape variability at eight sites across four continents based on temporal autocorrelation ranges and standard deviations of acoustic index values, and we created a heuristic model to classify types of soundscape variability based on those two variables. Drawing on values derived from three distinct acoustic indices, we found that the characteristic temporal variability of soundscapes varied between sites and times of day (dawn, daytime, dusk, and nighttime). Some sites exhibited little difference in variability between times of day whereas other sites exhibited greater within-site differences between times of day than many inter-site differences. Daytime soundscapes generally tended to exhibit more temporal variability than nighttime soundscapes. We also compared potential subsampling schemes that could be advantageous in terms of power, data storage, and data analysis costs by modeling subsample error as a function of total analysis time and number of subsamples within a larger block of time. Greater numbers of evenly distributed subdivisions drastically increased the representativeness of a sampling scheme, while increases in subsample duration yielded fairly minimal gains in representativeness between 33 and 67% of the full time one wishes to represent. Generally, our results show that for a long-term, fine temporal resolution monitoring program, one should record in evenly distributed durations at least as short as 1 min while only recording up to a third of the time one wishes to represent. While more continuous monitoring can be advantageous and necessary in many cases, current economic and logistical limitations in power, data storage, and analysis capabilities will often warrant optimized subsampling designs.

ACS Style

Dante Francomano; Benjamin L. Gottesman; Bryan C. Pijanowski. Biogeographical and analytical implications of temporal variability in geographically diverse soundscapes. Ecological Indicators 2020, 121, 106794 .

AMA Style

Dante Francomano, Benjamin L. Gottesman, Bryan C. Pijanowski. Biogeographical and analytical implications of temporal variability in geographically diverse soundscapes. Ecological Indicators. 2020; 121 ():106794.

Chicago/Turabian Style

Dante Francomano; Benjamin L. Gottesman; Bryan C. Pijanowski. 2020. "Biogeographical and analytical implications of temporal variability in geographically diverse soundscapes." Ecological Indicators 121, no. : 106794.

Journal article
Published: 12 May 2020 in Land Use Policy
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Payments for ecosystem services (PES) have increasingly been applied as economic incentives for improving ecosystem services around the world. However, due to difficulties in measuring and attributing ecosystem services provisioning, a land-based approach has been popularly adopted as a proxy for the desired ecosystem services. In this study, we demonstrate the impact mechanism and outcomes of locally financed PES programs on conservation-based land use in a developed area of China. We present this work using a PES-land use proxy framework that is examined empirically through a variety of qualitative assessments. Our framework illustrates that, within the ecological, socioeconomic, and institutional conditions of developed areas, land use class, pattern and function would be impacted by (a) conservation effect, (b) stakeholder response, and (c) institutional adaptation mechanisms of local PES programs, with multiple land use trends as potential outcomes. We examine the framework using materials from Suzhou, China, which has implemented a top-down, partly involuntary (ecosystem services supply side), land based PES program. Our results show that, expected land use class, land use pattern and land use function are observed in areas where the PES programs were implemented. We also find that the conditions of developed areas and locally financed payments mechanism indeed played a crucial role in promoting conservation-based land use in Suzhou.

ACS Style

Kaisheng Long; Hichem Omrani; Bryan C. Pijanowski. Impact of local payments for ecosystem services on land use in a developed area of China: A qualitative analysis based on an integrated conceptual framework. Land Use Policy 2020, 96, 104716 .

AMA Style

Kaisheng Long, Hichem Omrani, Bryan C. Pijanowski. Impact of local payments for ecosystem services on land use in a developed area of China: A qualitative analysis based on an integrated conceptual framework. Land Use Policy. 2020; 96 ():104716.

Chicago/Turabian Style

Kaisheng Long; Hichem Omrani; Bryan C. Pijanowski. 2020. "Impact of local payments for ecosystem services on land use in a developed area of China: A qualitative analysis based on an integrated conceptual framework." Land Use Policy 96, no. : 104716.

Journal article
Published: 07 February 2020 in Ecological Indicators
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Unprecedented rates of biodiversity loss and intensifying human attempts to rectify the biodiversity crisis have heightened the need for standardized, large-scale, long-duration biodiversity monitoring at fine temporal resolution. While some innovative technologies such as passive acoustic monitoring are well suited for such monitoring challenges, many questions remain as to how they should be scaled out and optimally implemented across ecosystems. Our research questions center on temporal sampling regimes—how frequently and how long one should collect data to represent biodiversity conditions over a given timeframe. Addressing this concern in the context of passive acoustic monitoring, we investigated whether temporal soundscape variability—the characteristic short-term acoustic change in an environment—is consistent across ecosystems and times of day, and we considered how various temporal subsampling schemes affect the representativeness of resultant acoustic index values, relative to continuous sampling. We quantified soundscape variability at eight sites across four continents based on temporal autocorrelation ranges and standard deviations of acoustic index values, and we created a heuristic model to classify types of soundscape variability based on those two variables. Drawing on values derived from three distinct acoustic indices, we found that the characteristic temporal variability of soundscapes varied between sites and times of day (dawn, daytime, dusk, and nighttime). Some sites exhibited little difference in variability between times of day whereas other sites exhibited greater within-site differences between times of day than many inter-site differences. Daytime soundscapes generally tended to exhibit more temporal variability than nighttime soundscapes. We also compared potential subsampling schemes that could be advantageous in terms of power, data storage, and data analysis costs by modeling subsample error as a function of total analysis time and number of subsamples within a larger block of time. Greater numbers of evenly distributed subdivisions drastically increased the representativeness of a sampling scheme, while increases in subsample duration yielded fairly minimal gains in representativeness between 33 and 67% of the full time one wishes to represent. Generally, our results show that for a long-term, fine temporal resolution monitoring program, one should record in evenly distributed durations at least as short as 1 min while only recording up to a third of the time one wishes to represent. While more continuous monitoring can be advantageous and necessary in many cases, current economic and logistical limitations in power, data storage, and analysis capabilities will often warrant optimized subsampling designs.

ACS Style

Dante Francomano; Benjamin L. Gottesman; Bryan C. Pijanowski. Biogeographical and analytical implications of temporal variability in geographically diverse soundscapes. Ecological Indicators 2020, 112, 105845 .

AMA Style

Dante Francomano, Benjamin L. Gottesman, Bryan C. Pijanowski. Biogeographical and analytical implications of temporal variability in geographically diverse soundscapes. Ecological Indicators. 2020; 112 ():105845.

Chicago/Turabian Style

Dante Francomano; Benjamin L. Gottesman; Bryan C. Pijanowski. 2020. "Biogeographical and analytical implications of temporal variability in geographically diverse soundscapes." Ecological Indicators 112, no. : 105845.

Reviews
Published: 02 October 2019 in Geocarto International
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Urban sprawl is recognized as a challenge in urbanization. It is an unplanned spread of cities into its surrounding area that is caused by rising urban population. This phenomenon, if not properly controlled, can lead to several issues, e.g. traffic congestion, water and air pollution and excessive fuel consumption. A recent extension of the Shannon entropy such as the spatial entropy can be used to model urban sprawl. We introduce a new measure of spatial entropy from a previous measure of spatial entropy. The proposed spatial entropy adds the compositional information of land use maps to the spatial entropy. In order to consider affecting factors in urban sprawl calculations, a conditional spatial entropy is suggested. The urban growth process is affected by various environmental and socio-economic parameters. Some of these parameters have such a low significance in urban growth process, and then feature selection have some advantageous like to reduce overall training times, to deal with overfitting and to increase generalizability. Fuzzy rough set theory is utilized as a feature selection method. The results show that the proposed model provides some valuable evaluation of the urban sprawl as compared to previous methods. Moreover, the feature selection has a minute impact on the entropy values, especially in the new modified entropy, this implying to remove unimportant features from the features.

ACS Style

Davoud Parvinnezhad; Mahmoud Reza Delavar; Christophe Claramunt; Bryan C. Pijanowski. A modified spatial entropy for urban sprawl assessment. Geocarto International 2019, 36, 1804 -1819.

AMA Style

Davoud Parvinnezhad, Mahmoud Reza Delavar, Christophe Claramunt, Bryan C. Pijanowski. A modified spatial entropy for urban sprawl assessment. Geocarto International. 2019; 36 (16):1804-1819.

Chicago/Turabian Style

Davoud Parvinnezhad; Mahmoud Reza Delavar; Christophe Claramunt; Bryan C. Pijanowski. 2019. "A modified spatial entropy for urban sprawl assessment." Geocarto International 36, no. 16: 1804-1819.

Journal article
Published: 20 September 2019 in Landscape and Urban Planning
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In the 1940s, Aldo Leopold took extensive notes on birds and their sounds near his iconic shack in Baraboo, Wisconsin, USA. His observations, along with his land management techniques, helped frame his seminal book, A Sand County Almanac. After his death, two interstate highways were built near his property and subjected this historically significant area to traffic noise. While highways currently represent vital transportation corridors, their observed and potential impacts on biodiversity and ecosystem services are cause for concern. As the area including Leopold’s shack is now an Important Bird Area, we sought to evaluate the impact of these highways on the bird community and its related acoustic diversity. In 2011, 150 avian point counts were conducted in the three main habitats composing the landscape—upland deciduous forest, floodplain forest, and herbaceous wetland. In 2012, soundscape recordings were collected in seven floodplain forest sites using automated passive acoustic recorders. We described the local bird communities and measured their acoustic diversity. Linear models accounting for additional factors including land cover and vegetation structure characteristics showed that as the distance from highways increased, bird community descriptors (overall abundance and species richness) and acoustic diversity increased (when relationships were significant). On the species level, forest interior specialists were negatively affected by the presence of the highways, contrary to edge specialists. In addition to the direct effects of the edges produced by the highway structure, this difference might be due to the masking effect of traffic noise on interior specialists’ low-frequency vocalizations and their reliance on acoustic, as opposed to visual, communication. We conclude that while habitat structure is a principle driver of bird diversity on a broader scale, highway-induced changes in both habitat structure and soundscapes may affect bird communities.

ACS Style

Maryam Ghadiri Khanaposhtani; Amandine Gasc; Dante Francomano; Luis J. Villanueva-Rivera; Jinha Jung; Michael J. Mossman; Bryan C. Pijanowski. Effects of highways on bird distribution and soundscape diversity around Aldo Leopold’s shack in Baraboo, Wisconsin, USA. Landscape and Urban Planning 2019, 192, 103666 .

AMA Style

Maryam Ghadiri Khanaposhtani, Amandine Gasc, Dante Francomano, Luis J. Villanueva-Rivera, Jinha Jung, Michael J. Mossman, Bryan C. Pijanowski. Effects of highways on bird distribution and soundscape diversity around Aldo Leopold’s shack in Baraboo, Wisconsin, USA. Landscape and Urban Planning. 2019; 192 ():103666.

Chicago/Turabian Style

Maryam Ghadiri Khanaposhtani; Amandine Gasc; Dante Francomano; Luis J. Villanueva-Rivera; Jinha Jung; Michael J. Mossman; Bryan C. Pijanowski. 2019. "Effects of highways on bird distribution and soundscape diversity around Aldo Leopold’s shack in Baraboo, Wisconsin, USA." Landscape and Urban Planning 192, no. : 103666.

Journal article
Published: 03 November 2018 in Habitat International
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Numerous machine learning-based land change models have been presented by researchers over the last two decades. To date, however, far less have simulated multiple land use classes and specific land use subclasses at the same time. In some areas of the world, it is important to simulate both of these dynamics to understand fully the drivers and consequences of land change. One important example is the process of urbanization in China, as urban policies have been developed that guide urban expansion, rural protections, and urban subclass development. This paper presents a new model integrating geographic information systems (GIS) with artificial neural networks (ANNs) to predict multiple transitions among land use types and urban subclasses in the Zhanggong District of Ganzhou city in China. We show that the model produces satisfactory goodness of fit values-based on location, quantity and spatial configuration-between simulated and observed land use maps for 2015. Our simulated future maps produced by the model for 2020 and 2025 demonstrate that transitions from farmland and forest to urban will remain the main pathway of urbanization although we predict that the rate will slow after 2025. The goals of urban planning should be aligned with land use planning according to "Combining multiple laws and regulations" in China. Taking into account the current and future land use transitions will enhance the accuracy and timeliness of land use policy making and urban land planning. For the sustainable land use in Zhanggong District, we argue for a strengthened regulation of the land market by government and believe that planning officials should guide the spatial distribution of land supply actively. Furthermore, improving the production, living and ecological functions of land resources are the key points to optimize urban land use functions and the allocation of land resources. We discuss how our model can be adapted to other areas to benefit land use management and urban planning in China.

ACS Style

Lingzhi Wang; Bryan Pijanowski; Weishi Yang; Ruixue Zhai; Hichem Omrani; Ke Li. Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China. Habitat International 2018, 82, 48 -61.

AMA Style

Lingzhi Wang, Bryan Pijanowski, Weishi Yang, Ruixue Zhai, Hichem Omrani, Ke Li. Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China. Habitat International. 2018; 82 ():48-61.

Chicago/Turabian Style

Lingzhi Wang; Bryan Pijanowski; Weishi Yang; Ruixue Zhai; Hichem Omrani; Ke Li. 2018. "Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China." Habitat International 82, no. : 48-61.

Data article
Published: 05 October 2018 in Data in Brief
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The datasets in this article are associated with the research article ‘Assessing biological and environmental effects of a total solar eclipse with passive multimodal technologies’ (Brinley Buckley et al., 2018). We documented biotic and abiotic changes during a total solar eclipse on 21 August 2017, in south-central Nebraska, USA, with a multimodal suite of tools, including time-lapse camera systems, data loggers, and sound recording devices. Time-lapse images were used to approximate changes in light, data loggers were used to record temperature and humidity, and sound recordings were used to calculate acoustic indices characterizing variation in the soundscape, as well as to manually identify and estimate avian vocalization activity.

ACS Style

Emma M. Brinley Buckley; Andrew J. Caven; Benjamin L. Gottesman; Mary J. Harner; Bryan C. Pijanowski; Michael L. Forsberg. Biological and environmental datasets from the August 2017 total solar eclipse. Data in Brief 2018, 21, 552 -555.

AMA Style

Emma M. Brinley Buckley, Andrew J. Caven, Benjamin L. Gottesman, Mary J. Harner, Bryan C. Pijanowski, Michael L. Forsberg. Biological and environmental datasets from the August 2017 total solar eclipse. Data in Brief. 2018; 21 ():552-555.

Chicago/Turabian Style

Emma M. Brinley Buckley; Andrew J. Caven; Benjamin L. Gottesman; Mary J. Harner; Bryan C. Pijanowski; Michael L. Forsberg. 2018. "Biological and environmental datasets from the August 2017 total solar eclipse." Data in Brief 21, no. : 552-555.

Journal article
Published: 01 July 2018 in Journal of Environmental Management
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Urbanization onto adjacent farmlands directly reduces the agricultural area available to meet the resource needs of a growing society. Soil conservation is a common objective in urban planning, but little focus has been placed on targeting soil value as a metric for conservation. This study assigns commodity and water storage values to the agricultural soils across all of the watersheds in Michigan's Lower Peninsula to evaluate how cities might respond to a soil conservation-based urbanization strategy. Land Transformation Model (LTM) simulations representing both traditional and soil conservation-based urbanization, are used to forecast urban area growth from 2010 to 2050 at five year intervals. The expansion of urban areas onto adjacent farmland is then evaluated to quantify the conservation effects of soil-based development. Results indicate that a soil-based protection strategy significantly conserves total farmland, especially more fertile soils within each soil type. In terms of revenue, ∼$88 million (in current dollars) would be conserved in 2050 using soil-based constraints, with the projected savings from 2011 to 2050 totaling more than $1.5 billion. Soil-based urbanization also increased urban density for each major metropolitan area. For example, there were 94,640 more acres directly adjacent to urban land by 2050 under traditional development compared to the soil-based urbanization strategy, indicating that urban sprawl was more tightly contained when including soil value as a metric to guide development. This study indicates that implementing a soil-based urbanization strategy would better satisfy future agricultural resource needs than traditional urban planning.

ACS Style

Samuel J. Smidt; Amin Tayyebi; Anthony D. Kendall; Bryan C. Pijanowski; David W. Hyndman. Agricultural implications of providing soil-based constraints on urban expansion: Land use forecasts to 2050. Journal of Environmental Management 2018, 217, 677 -689.

AMA Style

Samuel J. Smidt, Amin Tayyebi, Anthony D. Kendall, Bryan C. Pijanowski, David W. Hyndman. Agricultural implications of providing soil-based constraints on urban expansion: Land use forecasts to 2050. Journal of Environmental Management. 2018; 217 ():677-689.

Chicago/Turabian Style

Samuel J. Smidt; Amin Tayyebi; Anthony D. Kendall; Bryan C. Pijanowski; David W. Hyndman. 2018. "Agricultural implications of providing soil-based constraints on urban expansion: Land use forecasts to 2050." Journal of Environmental Management 217, no. : 677-689.

Journal article
Published: 17 February 2018 in International Journal of Science Education, Part B
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ACS Style

Maryam Ghadiri Khanaposhtani; ChangChia James Liu; Benjamin L. Gottesman; Daniel Shepardson; Bryan Pijanowski. Evidence that an informal environmental summer camp can contribute to the construction of the conceptual understanding and situational interest of STEM in middle-school youth. International Journal of Science Education, Part B 2018, 8, 227 -249.

AMA Style

Maryam Ghadiri Khanaposhtani, ChangChia James Liu, Benjamin L. Gottesman, Daniel Shepardson, Bryan Pijanowski. Evidence that an informal environmental summer camp can contribute to the construction of the conceptual understanding and situational interest of STEM in middle-school youth. International Journal of Science Education, Part B. 2018; 8 (3):227-249.

Chicago/Turabian Style

Maryam Ghadiri Khanaposhtani; ChangChia James Liu; Benjamin L. Gottesman; Daniel Shepardson; Bryan Pijanowski. 2018. "Evidence that an informal environmental summer camp can contribute to the construction of the conceptual understanding and situational interest of STEM in middle-school youth." International Journal of Science Education, Part B 8, no. 3: 227-249.

Data descriptor
Published: 05 May 2017 in Data
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Land cover data are often used to examine the impacts of landscape alterations on the environment from the local to global scale. Although various agencies produce land cover data at various spatial scales, data are still limited at the regional scale over extended timescales. This is a critical data gap since decision-makers often use future and long-term land cover maps to develop effective policies for sustainable environmental systems. As a result, land change science incorporates common data mining tools to create future land cover maps that extend over long timescales. This study applied one of the well-known land cover change models, called Land Transformation Model (LTM), to produce urbanization maps for the Lower Peninsula of Michigan in United States from 2010 to 2050 with five year intervals. Long-term urbanization data in the Lower Peninsula of Michigan can be used in various environmental studies such as assessing the impact of future urbanization on climate change, water quality, food security and biodiversity.

ACS Style

Amin Tayyebi; Samuel Smidt; Bryan C. Pijanowski. Long-Term Land Cover Data for the Lower Peninsula of Michigan, 2010–2050. Data 2017, 2, 16 .

AMA Style

Amin Tayyebi, Samuel Smidt, Bryan C. Pijanowski. Long-Term Land Cover Data for the Lower Peninsula of Michigan, 2010–2050. Data. 2017; 2 (2):16.

Chicago/Turabian Style

Amin Tayyebi; Samuel Smidt; Bryan C. Pijanowski. 2017. "Long-Term Land Cover Data for the Lower Peninsula of Michigan, 2010–2050." Data 2, no. 2: 16.

Journal article
Published: 01 January 2017 in Cogent Environmental Science
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ACS Style

Brian M. Napoletano; Bryan C. Pijanowski; John B. Dunning. Influences of horizontal and vertical aspects of land cover and their interactions with regional factors on patterns of avian species-richness. Cogent Environmental Science 2017, 3, 1 .

AMA Style

Brian M. Napoletano, Bryan C. Pijanowski, John B. Dunning. Influences of horizontal and vertical aspects of land cover and their interactions with regional factors on patterns of avian species-richness. Cogent Environmental Science. 2017; 3 (1):1.

Chicago/Turabian Style

Brian M. Napoletano; Bryan C. Pijanowski; John B. Dunning. 2017. "Influences of horizontal and vertical aspects of land cover and their interactions with regional factors on patterns of avian species-richness." Cogent Environmental Science 3, no. 1: 1.

Journal article
Published: 14 December 2016 in Sensors
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Cellular Automata (CA) is one of the most common techniques used to simulate the urbanization process. CA-based urban models use transition rules to deliver spatial patterns of urban growth and urban dynamics over time. Determining the optimum transition rules of the CA is a critical step because of the heterogeneity and nonlinearities existing among urban growth driving forces. Recently, new CA models integrated with optimization methods based on swarm intelligence algorithms were proposed to overcome this drawback. The Artificial Bee Colony (ABC) algorithm is an advanced meta-heuristic swarm intelligence-based algorithm. Here, we propose a novel CA-based urban change model that uses the ABC algorithm to extract optimum transition rules. We applied the proposed ABC-CA model to simulate future urban growth in Urmia (Iran) with multi-temporal Landsat images from 1997, 2006 and 2015. Validation of the simulation results was made through statistical methods such as overall accuracy, the figure of merit and total operating characteristics (TOC). Additionally, we calibrated the CA model by ant colony optimization (ACO) to assess the performance of our proposed model versus similar swarm intelligence algorithm methods. We showed that the overall accuracy and the figure of merit of the ABC-CA model are 90.1% and 51.7%, which are 2.9% and 8.8% higher than those of the ACO-CA model, respectively. Moreover, the allocation disagreement of the simulation results for the ABC-CA model is 9.9%, which is 2.9% less than that of the ACO-CA model. Finally, the ABC-CA model also outperforms the ACO-CA model with fewer quantity and allocation errors and slightly more hits.

ACS Style

Fereydoun Naghibi; Mahmoud Reza Delavar; Bryan Pijanowski. Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm. Sensors 2016, 16, 2122 .

AMA Style

Fereydoun Naghibi, Mahmoud Reza Delavar, Bryan Pijanowski. Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm. Sensors. 2016; 16 (12):2122.

Chicago/Turabian Style

Fereydoun Naghibi; Mahmoud Reza Delavar; Bryan Pijanowski. 2016. "Urban Growth Modeling Using Cellular Automata with Multi-Temporal Remote Sensing Images Calibrated by the Artificial Bee Colony Optimization Algorithm." Sensors 16, no. 12: 2122.

Book chapter
Published: 01 January 2016 in Advances in Experimental Medicine and Biology
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Soundscape ecological research in terrestrial systems is relatively new. In this paper, I present a brief summary of the origins of this research area, describe research questions related to several research thrusts that are ongoing, summarize several soundscape projects that exist and how these relate to the research thrusts, and briefly describe the work of a global network of scientists, musicians, and engineers that are attempting to move this new field forward.

ACS Style

Bryan Christopher Pijanowski. Terrestrial Soundscapes: Status of Ecological Research in Natural and Human-Dominated Landscapes. Advances in Experimental Medicine and Biology 2016, 875, 839 -846.

AMA Style

Bryan Christopher Pijanowski. Terrestrial Soundscapes: Status of Ecological Research in Natural and Human-Dominated Landscapes. Advances in Experimental Medicine and Biology. 2016; 875 ():839-846.

Chicago/Turabian Style

Bryan Christopher Pijanowski. 2016. "Terrestrial Soundscapes: Status of Ecological Research in Natural and Human-Dominated Landscapes." Advances in Experimental Medicine and Biology 875, no. : 839-846.

Journal article
Published: 01 July 2015 in Ecological Indicators
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ACS Style

Wei Song; Bryan C. Pijanowski; Amin Tayyebi. Urban expansion and its consumption of high-quality farmland in Beijing, China. Ecological Indicators 2015, 54, 60 -70.

AMA Style

Wei Song, Bryan C. Pijanowski, Amin Tayyebi. Urban expansion and its consumption of high-quality farmland in Beijing, China. Ecological Indicators. 2015; 54 ():60-70.

Chicago/Turabian Style

Wei Song; Bryan C. Pijanowski; Amin Tayyebi. 2015. "Urban expansion and its consumption of high-quality farmland in Beijing, China." Ecological Indicators 54, no. : 60-70.

Journal article
Published: 01 September 2014 in Global Environmental Change
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ACS Style

Jordan W. Smith; Bryan C. Pijanowski. Human and policy dimensions of soundscape ecology. Global Environmental Change 2014, 28, 63 -74.

AMA Style

Jordan W. Smith, Bryan C. Pijanowski. Human and policy dimensions of soundscape ecology. Global Environmental Change. 2014; 28 ():63-74.

Chicago/Turabian Style

Jordan W. Smith; Bryan C. Pijanowski. 2014. "Human and policy dimensions of soundscape ecology." Global Environmental Change 28, no. : 63-74.

Journal article
Published: 01 May 2014 in International Journal of Applied Earth Observation and Geoinformation
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ACS Style

Amin Tayyebi; Bryan C. Pijanowski. Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools. International Journal of Applied Earth Observation and Geoinformation 2014, 28, 102 -116.

AMA Style

Amin Tayyebi, Bryan C. Pijanowski. Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools. International Journal of Applied Earth Observation and Geoinformation. 2014; 28 ():102-116.

Chicago/Turabian Style

Amin Tayyebi; Bryan C. Pijanowski. 2014. "Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools." International Journal of Applied Earth Observation and Geoinformation 28, no. : 102-116.

Journal article
Published: 01 January 2014 in Environmental Modelling & Software
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The Land Transformation Model (LTM) is a Land Use Land Cover Change (LUCC) model which was originally developed to simulate local scale LUCC patterns. The model uses a commercial windows-based GIS program to process and manage spatial data and an artificial neural network (ANN) program within a series of batch routines to learn about spatial patterns in data. In this paper, we provide an overview of a redesigned LTM capable of running at continental scales and at a fine (30m) resolution using a new architecture that employs a windows-based High Performance Computing (HPC) cluster. This paper provides an overview of the new architecture which we discuss within the context of modeling LUCC that requires: (1) using an HPC to run a modified version of our LTM; (2) managing large datasets in terms of size and quantity of files; (3) integration of tools that are executed using different scripting languages; and (4) a large number of steps necessitating several aspects of job management.

ACS Style

Bryan C. Pijanowski; Amin Tayyebi; Jarrod Doucette; Burak K. Pekin; David Braun; James Plourde. A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment. Environmental Modelling & Software 2014, 51, 250 -268.

AMA Style

Bryan C. Pijanowski, Amin Tayyebi, Jarrod Doucette, Burak K. Pekin, David Braun, James Plourde. A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment. Environmental Modelling & Software. 2014; 51 ():250-268.

Chicago/Turabian Style

Bryan C. Pijanowski; Amin Tayyebi; Jarrod Doucette; Burak K. Pekin; David Braun; James Plourde. 2014. "A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment." Environmental Modelling & Software 51, no. : 250-268.

Journal article
Published: 01 January 2014 in Applied Geography
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ACS Style

Wei Song; Bryan C. Pijanowski. The effects of China's cultivated land balance program on potential land productivity at a national scale. Applied Geography 2014, 46, 158 -170.

AMA Style

Wei Song, Bryan C. Pijanowski. The effects of China's cultivated land balance program on potential land productivity at a national scale. Applied Geography. 2014; 46 ():158-170.

Chicago/Turabian Style

Wei Song; Bryan C. Pijanowski. 2014. "The effects of China's cultivated land balance program on potential land productivity at a national scale." Applied Geography 46, no. : 158-170.

Articles
Published: 01 December 2013 in Journal of Land Use Science
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The Land Transformation Model (LTM) is hierarchically coupled with meso-scale drivers to project urban growth across the conterminous USA. Quantity of urban growth at county and place (i.e., city) scales is simulated using population, urban density and nearest neighbor dependent attributes. We compared three meso-scale LTMs to three null models that lack meso-scale drivers. Models were developed using circa 1990–2000 data and validated using change in the 2001 and 2006 National Land Cover Databases (NLCD). LTM and null models were assessed using the mean difference in quantity between simulated and actual growth measured at multiple spatial scales. We found that LTM models performed relatively well at spatial scales as small as 450 m, and that the mean difference between the NLCD and LTM with meso-scale drivers at 900 m was 2–3%, whereas null models produced a mean difference of ∼5%. Thus, introducing meso-scale modules into large-scale LTM simulations significantly increases model accuracy.

ACS Style

Amin Tayyebi; Burak Pekin; Bryan C. Pijanowski; James D. Plourde; Jarrod S. Doucette; David Braun. Hierarchical modeling of urban growth across the conterminous USA: developing meso-scale quantity drivers for the Land Transformation Model. Journal of Land Use Science 2013, 8, 422 -442.

AMA Style

Amin Tayyebi, Burak Pekin, Bryan C. Pijanowski, James D. Plourde, Jarrod S. Doucette, David Braun. Hierarchical modeling of urban growth across the conterminous USA: developing meso-scale quantity drivers for the Land Transformation Model. Journal of Land Use Science. 2013; 8 (4):422-442.

Chicago/Turabian Style

Amin Tayyebi; Burak Pekin; Bryan C. Pijanowski; James D. Plourde; Jarrod S. Doucette; David Braun. 2013. "Hierarchical modeling of urban growth across the conterminous USA: developing meso-scale quantity drivers for the Land Transformation Model." Journal of Land Use Science 8, no. 4: 422-442.