Facilities to output HEALPix maps into Google Earth / Google Sky compliant images and into DomeMaster format used in planetariums. For a detailed list of the new features added in the latest HEALPix release, see the Getting HEALPix page.

HEALPix (sometimes written as Healpix), an acronym for Hierarchical Equal Area isoLatitude Pixelisation of a 2- sphere, is an algorithm for pixelisation of the 2-sphere based on subdivision of a distorted rhombic dodecahedron, and the associated class of map projections. [1]

2022年2月16日 · HEALPix 是 Hierarchical Equal Area isoLatitude Pixelation of a sphere 的首字母缩写词，这种像素化产生了球面的细分，其中每个像素都覆盖了与其他每个像素相同的表面积。

2021年10月13日 · Healpy是一个Python包，用于处理HEALPix像素化的球面数据，常用于天体物理学。 教程介绍了NSIDE参数、像素转换、坐标变换、地图读写、可视化及球面谐波操作。

2025年1月27日 · Python中的healpy模块为研究人员提供了便捷的接口来处理和可视化Healpix数据。 通过本文的介绍，我们了解了Healpix的基本原理、Python Healpix模块的使用方法以及一些实际应用案例。

HEALPix is an acronym for H ierarchical E qual A rea iso L atitude Pix elization of a sphere. As suggested in the name, this pixelization produces a subdivision of a spherical surface in which each pixel covers the same surface area as every other pixel.

HEALPix 是 H ierarchical E qual A rea iso L atitude Pix elisation of a 2-sphere 的縮寫，是一種用於解決 二維球面 像素 分割問題（如 地圖投影）的 算法。

HEALPix is a Hierarchical, Equal Area, and iso-Latitude Pixelisation of the sphere designed to support efficiently (1) local operations on the pixel set, (2) a hierarchical tree structure for multi-resolution applications, and (3) the global Fast Spherical Harmonic transform.

HEALPix—the Hierarchical Equal Area isoLatitude Pixelization—is a versatile structure for the pixelization of data on the sphere. An associated library of computational algorithms and visualization software supports fast scientific applications executable directly on discretized spherical maps generated from very large volumes of ...

2004年9月21日 · HEALPix -- the Hierarchical Equal Area iso-Latitude Pixelization -- is a versatile data structure with an associated library of computational algorithms and visualization software that supports fast scientific applications executable directly on very large volumes of astronomical data and large area surveys in the form of discretized spherical ...