Vote for your favorite mineral in #MinCup25! - Sanidine vs. Hematite
It's a pair of often-overlooked classics as potassium feldspar sanidine competes with iron ore hematite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Zhang, Tong, Hua, Gaofeng, Ligmann-Zielinska, Arika (2015) Visually-driven parallel solving of multi-objective land-use allocation problems: a case study in Chelan, Washington. Earth Science Informatics, 8 (4) 809-825 doi:10.1007/s12145-015-0214-6

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleVisually-driven parallel solving of multi-objective land-use allocation problems: a case study in Chelan, Washington
JournalEarth Science Informatics
AuthorsZhang, TongAuthor
Hua, GaofengAuthor
Ligmann-Zielinska, ArikaAuthor
Year2015 (December)Volume8
Issue4
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s12145-015-0214-6Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID729676Long-form Identifiermindat:1:5:729676:9
GUID0
Full ReferenceZhang, Tong, Hua, Gaofeng, Ligmann-Zielinska, Arika (2015) Visually-driven parallel solving of multi-objective land-use allocation problems: a case study in Chelan, Washington. Earth Science Informatics, 8 (4) 809-825 doi:10.1007/s12145-015-0214-6
Plain TextZhang, Tong, Hua, Gaofeng, Ligmann-Zielinska, Arika (2015) Visually-driven parallel solving of multi-objective land-use allocation problems: a case study in Chelan, Washington. Earth Science Informatics, 8 (4) 809-825 doi:10.1007/s12145-015-0214-6
In(2015, December) Earth Science Informatics Vol. 8 (4) Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

Ligmann‐Zielinska, Arika, Church, Richard L., Jankowski, Piotr (2008) Spatial optimization as a generative technique for sustainable multiobjective land‐use allocation. International Journal of Geographical Information Science, 22 (6). 601-622 doi:10.1080/13658810701587495
Ramyar, Ali; Soltani, Ali; Ramyar, Mohammad; Najafi Kashkooli, Hamed (2025) Urban land use allocation with hybrid linear programming – multi-objective ant colony algorithm. Earth Science Informatics, 18 (2). doi:10.1007/s12145-025-01904-y
Ligmann-Zielinska, Arika (2013) Spatially-explicit sensitivity analysis of an agent-based model of land use change. International Journal of Geographical Information Science, 27 (9). 1764-1781 doi:10.1080/13658816.2013.782613
Jamali, Ali (2020) Land use land cover mapping using advanced machine learning classifiers: A case study of Shiraz city, Iran. Earth Science Informatics, 13 (4). 1015-1030 doi:10.1007/s12145-020-00475-4
Hua, Hongmei, Chen, Xiaoyang, Zhang, Xuyang (2025) Carbon effects of land use transitions: a process-mechanism-future perspective. Earth Science Informatics, 18 (2). doi:10.1007/s12145-025-01759-3
Mulia, Iyan E., Asano, Toshiyuki, Tkalich, Pavel (2015) Retrieval of missing values in water temperature series using a data-driven model. Earth Science Informatics, 8 (4) 787-798 doi:10.1007/s12145-015-0210-x
Jalalkamali, Amir (2015) Using of hybrid fuzzy models to predict spatiotemporal groundwater quality parameters. Earth Science Informatics, 8 (4) 885-894 doi:10.1007/s12145-015-0222-6
Lin, Wei Hua, Tan, Xiao Jun, Liu, Fu Jiang, Yu, Yan, Wang, Wei Ming (2015) A new directional query method for polygon dataset in spatial database. Earth Science Informatics, 8 (4) 775-786 doi:10.1007/s12145-015-0206-6
Ligmann-Zielinska, Arika, Sun, Libo (2010) Applying time-dependent variance-based global sensitivity analysis to represent the dynamics of an agent-based model of land use change. International Journal of Geographical Information Science, 24 (12). 1829-1850 doi:10.1080/13658816.2010.490533
Mohammadi, Reza (2024) A multi-objective path computation approach for software defined internet of underwater things. Earth Science Informatics, 17 (5). doi:10.1007/s12145-024-01411-6
Ligmann-Zielinska, Arika, Jankowski, Piotr (2014) Spatially-explicit integrated uncertainty and sensitivity analysis of criteria weights in multicriteria land suitability evaluation. Environmental Modelling & Software, 57. 235-247 doi:10.1016/j.envsoft.2014.03.007
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Š OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 7, 2025 13:26:34
Go to top of page