DOI

One of the popular ways to clutter reduction techniques is to combine neighboring points into one marker that somehow shows that it contains multiple entities - this way is called clustering. In this paper, we present a JavaScript library to define optimal size of clusters and render them. Moreover, markers have to present heterogeneous data inside of clusters. The presented library relies on server side clustering, no matter if is it a real-time clustering or a static bunch of hexagonal grids. For the library, a server provides the bunch of grid layers by different cell sizes - from smaller to larger. The library relies on data fetching provided by external library, such as Mapbox/Maplibre, so it can work with both GeoJSON and vector tiles. Using the HTML Canvas to render the marker allows to full customizing the marker image: manage the colors and proportions of cluster fractions and the size.

Язык оригиналаанглийский
Страницы (с-по)435-440
Число страниц6
ЖурналInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Том43
Номер выпускаB4-2022
DOI
СостояниеОпубликовано - 30 мая 2022
Событие2022 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission IV - Nice, Франция
Продолжительность: 6 июн 202211 июн 2022

    Предметные области Scopus

  • Информационные системы
  • География, планирование и развитие

ID: 101463188