Otwarty dostęp

Cartographic visualization of density: exploring the opportunities and constraints of Heat Maps


Zacytuj

Anderson, T. K. (2009). Kernel density estimation and K-means clustering to profile road accident hot-spots. Accident Analysis & Prevention, 41(3), 359–364. https://doi.org/10.1016/j.aap.2008.12.01410.1016/j.aap.2008.12.01419393780 Search in Google Scholar

Antoszkiewicz, M. (2018). Analiza porównawcza wybranych polskojęzycznych serwisów mapowych. University of Warsaw. Search in Google Scholar

Babicki, S., Arndt, D., Marcu, A., Liang, Y., Grant, J. R., Maciejewski, A., & Wishart, D. S. (2016). Heatmapper: Web-enabled heat mapping for all. Nucleic Acids Research, 44(W1), W147–W153. https://doi.org/10.1093/nar/gkw41910.1093/nar/gkw419498794827190236 Search in Google Scholar

Barter, R. L., & Yu, B. (2018). Superheat: An R Package for Creating Beautiful and Extendable Heatmaps for Visualizing Complex Data. Journal of Computational and Graphical Statistics, 27(4), 910–922. https://doi.org/10.1080/10618600.2018.147378010.1080/10618600.2018.1473780643023730911216 Search in Google Scholar

Board, C. (1978). Map Reading Tasks Appropriate In Experimental Studies In Cartographic Communication. Cartographica: The International Journal for Geographic Information and Geovisualization, 15(1), 1–12. https://doi.org/10.3138/AG15-V252-3726-W34610.3138/AG15-V252-3726-W346 Search in Google Scholar

Bornn, L., Cervone, D., & Fernandez, J. (2018). Soccer analytics: Unravelling the complexity of “the beautiful game”. Significance, 15(3), 26–29. https://doi.org/10.1111/j.1740-9713.2018.01146.x10.1111/j.1740-9713.2018.01146.x Search in Google Scholar

Borzuchowska, J. (2007). Poszukiwanie nowych metod kartograficznych dla mapowania problemów społecznych. In W. Żyszkowska & W. Spallek (Eds.), Główne problemy współczesnej kartografii. Kartograficzne programy komputerowe. Konfrontacja teorii z praktyką (pp. 135–144). Uniwersytet Wrocławski. Search in Google Scholar

Chainey, S., Tompson, L., & Uhlig, S. (2008). The Utility of Hotspot Mapping for Predicting Spatial Patterns of Crime. Security Journal, 21(1–2), 4–28. https://doi.org/10.1057/palgrave.sj.835006610.1057/palgrave.sj.8350066 Search in Google Scholar

Chen, K., Haller, J. L., Kanade, T., & Georghiades, A. S. (2018). Heat map of vehicle damage. https://patents.google.com/patent/US9886771B1/en Search in Google Scholar

DeBoer, M. (2015). Understanding the Heat Map. Cartographic Perspectives, 80, 39–43. https://doi.org/10.14714/CP80.131410.14714/CP80.1314 Search in Google Scholar

Dempsey, C. (2012). Heat Maps in GIS. https://www.gislounge.com/heat-maps-in-gis/ Search in Google Scholar

Dukaczewski, D. (2007). Wojewódzkie portale informacji przestrzennej. Roczniki Geomatyki, V(3), 37–56. Search in Google Scholar

ESRI. (2020). Can a heat map be created in ArcMap? https://support.esri.com/en/technical-article/000012211 Search in Google Scholar

Faby, H., & Koch, A. (2010). From maps to neo-cartography. In T. Bandrova & M. Konecny (Eds.), Proceedings of the 3rd Interational Conference on Cartography & GIS (p. 6). Search in Google Scholar

Goldsberry, K. (2012). CourtVision: New Visual and Spatial Analytics for the NBA. MIT Sloan Sports Analytics Conference. https://www.semanticscholar.org/paper/CourtVision-%3A-New-Visual-and-Spatial-Analytics-for-Goldsberry/46e4a7271de62e9118625dec935c4aef1bc0ea74 Search in Google Scholar

Gołebiowska, I., & Coltekin, A. (2020). Rainbow Dash: Intuitiveness, interpretability and memorability of the rainbow colour scheme in visualization. IEEE Transactions on Visualization and Computer Graphics, 1. https://doi.org/10.1109/TVCG.2020.303582310.1109/TVCG.2020.303582333151882 Search in Google Scholar

Golub, S. (n.d.). Heatmap.py. Retrieved 24 April 2021, from http://www.sethoscope.net/heatmap/ Search in Google Scholar

Google Fusion Tables. (2019). https://en.wikipedia.org/wiki/Google_Fusion_Tables Search in Google Scholar

Google Maps Platform. Maps JavaScript API. Heatmap Layer. (n.d.). Retrieved 26 April 2021, from https://developers.google.com/maps/documentation/javascript/heatmaplayer Search in Google Scholar

Gotlib, D. (2008). Nowe oblicza kartografii – Internet a kartografia. Polski Przegląd Kartograficzny, 40(3), 237–246. Search in Google Scholar

Gove, R., Gramsky, N., Kirby, R., Sefer, E., Sopan, A., Dunne, C., Shneiderman, B., & Taieb-Maimon, M. (n.d.). NetVisia: Heat Map & Matrix Visualization of Dynamic Social Network Statistics & Content. 19–26. https://doi.org/10.1109/PASSAT/SocialCom.2011.21610.1109/PASSAT/SocialCom.2011.216 Search in Google Scholar

Grzeszczyk, M. (2014). Porównanie funkcjonalności internetowych aplikacji mapowych do prezentacji metod oznaczania obiektów punktowych i liniowych [Bachelor thesis]. University of Warsaw. Search in Google Scholar

Guo, H., Zhang, W., Ni, C., Cai, Z., Chen, S., & Huang, X. (2020). Heat map visualization for electrocardiogram data analysis. BMC Cardiovascular Disorders, 20(1). https://doi.org/10.1186/s12872-020-01560-810.1186/s12872-020-01560-8728195232513239 Search in Google Scholar

Heatmapper. (n.d.). Retrieved 24 April 2021, from http://www.heatmapper.ca/ Search in Google Scholar

HeatmapTool.com. (n.d.). Retrieved 24 April 2021, from HeatmapTool.com Search in Google Scholar

Hotjar. (n.d.). Retrieved 24 April 2021, from https://www.hotjar.com/ Search in Google Scholar

How to Smart Map: Heat Maps. A simple guide to using density within ArcGIS Online. (n.d.). Retrieved 26 April 2021, from https://www.arcgis.com/apps/Cascade/index.html?appid=ca7e12f6e8c0474bb4269889bda8ce41 Search in Google Scholar

Kukułka, M., & Gotlib, D. (2014). Wpływ zjawiska neokartografii na rozwój serwisów internetowych udostępniających informacje przestrzenne. Polski Przegląd Kartograficzny, 46(1), 34–46. Search in Google Scholar

Lucky Orange. (n.d.). Retrieved 24 April 2021, from https://www.luckyorange.com/heat-maps.php Search in Google Scholar

McHale, I. G., & Relton, S. D. (2018). Identifying key players in soccer teams using network analysis and pass difficulty. European Journal of Operational Research, 268(1), 339–347. https://doi.org/10.1016/j.ejor.2018.01.01810.1016/j.ejor.2018.01.018 Search in Google Scholar

Microsoft Excel Heatmap. (n.d.). Retrieved 24 April 2021, from https://www.excel-easy.com/examples/heat-map.html Search in Google Scholar

Monmonier, M. S. (2018). How to lie with maps. (Third edition). The University of Chicago Press. Search in Google Scholar

Moon, J.-Y., Jung, H.-J., Moon, M. H., Chung, B. C., & Choi, M. H. (2009). Heat-map visualization of gas chromatography-mass spectrometry based quantitative signatures on steroid metabolism. Journal of the American Society for Mass Spectrometry, 20(9), 1626–1637. https://doi.org/10.1016/j.jasms.2009.04.02010.1016/j.jasms.2009.04.02019497759 Search in Google Scholar

Nelson, J. K., & MacEachren, A. M. (n.d.). User-centered Design and Evaluation of a Geovisualization Application Leveraging Aggregated Quantified-Self Data. Cartographic Perspectives, 96, 7–31. https://doi.org/10.14714/CP96.163110.14714/CP96.1631 Search in Google Scholar

Netek, R., Pour, T., & Slezakova, R. (2018). Implementation of Heat Maps in Geographical Information System – Exploratory Study on Traffic Accident Data. Open Geosciences, 10(1), 367–384. https://doi.org/10.1515/geo-2018-002910.1515/geo-2018-0029 Search in Google Scholar

Netek, R., Tomecka, O., & Brus, J. (2019). Performance Testing on Marker Clustering and Heatmap Visualization Techniques: A Comparative Study on JavaScript Mapping Libraries. ISPRS International Journal of Geo-Information, 8(8), 348. https://doi.org/10.3390/ijgi808034810.3390/ijgi8080348 Search in Google Scholar

Opach, T., & Nossum, A. (2011). Evaluating the Usability of Cartographic Animations With Eye--Movement Analysis. Proceedings of the 25th International Cartography Conference ICC, 11. https://icaci.org/files/documents/ICC_proceedings/ICC2011/Oral%20Presentations%20PDF/A3-Visualisation%20efficiency/CO-005.pdf Search in Google Scholar

Open Layers Documentation. (n.d.). Retrieved 26 April 2021, from https://openlayers.org/en/latest/apidoc/module-ol_layer_Heatmap-Heatmap.html Search in Google Scholar

Pánek, J., & Benediktsson, K. (2017). Emotional mapping and its participatory potential: Opinions about cycling conditions in Reykjavík, Iceland. Cities, 61, 65–73. https://doi.org/10.1016/j.cities.2016.11.00510.1016/j.cities.2016.11.005 Search in Google Scholar

Perin, C., Vuillemot, R., & Fekete, J.-D. (2013). SoccerStories: A Kick-off for Visual Soccer Analysis. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2506–2515. https://doi.org/10.1109/TVCG.2013.19210.1109/TVCG.2013.19224051817 Search in Google Scholar

Pettit, C., Widjaja, I., Russo, P., Sinnott, R., Stimson, R., & Tomko, M. (2012). Visualisation support for exploring urban space and place. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, I–2, 153–158. https://doi.org/10.5194/ISPRSANNALS-I-2-153-201210.5194/isprsannals-I-2-153-2012 Search in Google Scholar

Pleil, J. D., Stiegel, M. A., Madden, M. C., & Sobus, J. R. (2011). Heat map visualization of complex environmental and biomarker measurements. Chemo-sphere, 84(5), 716–723. https://doi.org/10.1016/j.chemosphere.2011.03.01710.1016/j.chemosphere.2011.03.01721492901 Search in Google Scholar

Plug, C., Xia, J., & Caulfield, C. (2011). Spatial and temporal visualisation techniques for crash analysis. Accident Analysis & Prevention, 43(6), 1937–1946. https://doi.org/10.1016/j.aap.2011.05.00710.1016/j.aap.2011.05.00721819821 Search in Google Scholar

Polczynski, M., & Polczynski, M. (2014). A Microsoft VBA Application for Generating Heat Maps. Transactions in GIS, 18(5), 783–791. https://doi.org/10.1111/tgis.1208210.1111/tgis.12082 Search in Google Scholar

QGIS Documentation 2.10. (n.d.). Retrieved 24 April 2021, from https://docs.qgis.org/3.10/en/docs/index.html Search in Google Scholar

Rosenbaum, L., Hinselmann, G., Jahn, A., & Zell, A. (2011). Interpreting linear support vector machine models with heat map molecule colouring. Journal of Cheminformatics, 3(1). https://doi.org/10.1186/1758-2946-3-1110.1186/1758-2946-3-11307624421439031 Search in Google Scholar

Sainio, J., Westerholm, J., & Oksanen, J. (2015). Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy. ISPRS International Journal of Geo-Information, 4(4), 1813–1826. https://doi.org/10.3390/ijgi404181310.3390/ijgi4041813 Search in Google Scholar

Scott, N., Green, C., & Fairley, S. (2016). Investigation of the use of eye tracking to examine tourism advertising effectiveness. Current Issues in Tourism, 19(7), 634–642. https://doi.org/10.1080/13683500.2014.100379710.1080/13683500.2014.1003797 Search in Google Scholar

Siejka, M., & Ślusarski, M. (2014). Ocena geoportali internetowych powiatów, na wybranych przykładach oraz według ustalonych kryteriów. Infrastruktura i Ekologia Terenów Wiejskich, 2(2), 545–555. Search in Google Scholar

Silva, A. T., Ribone, P. A., Chan, R. L., Ligterink, W., & Hilhorst, H. W. M. (2016). A Predictive Coexpression Network Identifies Novel Genes Controlling the Seed-to-Seedling Phase Transition in Arabidopsis thaliana. Plant Physiology, 170(4), 2218–2231. https://doi.org/10.1104/pp.15.0170410.1104/pp.15.01704482514126888061 Search in Google Scholar

Silverman, B. W. (1986). Density Estimation for Statistics and Data Analysis. Chapman and Hall. Search in Google Scholar

Smartlook. (n.d.). Retrieved 24 April 2021, from https://www.smartlook.com/ Search in Google Scholar

Špakov, O., & Miniotas, D. (2007). Visualization of Eye Gaze Data using Heat Maps. Elektronika Ir Elektrotechnika, 74(2), 55–58. Search in Google Scholar

Strava. (n.d.). https://www.strava.com/heatmap#5.30/8.83889/51.91208/hot/all Search in Google Scholar

Vosskühler, A., Nordmeier, V., Kuchinke, L., & Jacobs, A. M. (2008). OGAMA (Open Gaze and Mouse Analyzer): Open-source software designed to analyze eye and mouse movements in slideshow study designs. Behavior Research Methods, 40(4), 1150–1162. https://doi.org/10.3758/BRM.40.4.115010.3758/BRM.40.4.115019001407 Search in Google Scholar

Wilkinson, L., & Friendly, M. (2009). The History of the Cluster Heat Map. The American Statistician, 63(2), 179–184. https://doi.org/10.1198/tas.2009.003310.1198/tas.2009.0033 Search in Google Scholar

Yeap, E., & Uy, I. (2014). Marker Clustering and Heat-maps: New features in the Google Maps Android API Utility Library. https://mapsplatform.googleblog.com/2014/02/marker-clustering-and-heatmaps-new.html Search in Google Scholar

Zhan, Z., Zhang, L., Mei, H., & Fong, P. (2016). Online Learners’ Reading Ability Detection Based on Eye--Tracking Sensors. Sensors, 16(9), 1457. https://doi.org/10.3390/s1609145710.3390/s16091457503873527626418 Search in Google Scholar

eISSN:
2450-6966
ISSN:
0324-8321
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Geosciences, Cartography and Photogrammetry, other, History, Topics in History, History of Science