Mapping on the Healpix Grid
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Rcosmo: R Package for Analysis of Spherical, Healpix and Cosmological Data Arxiv:1907.05648V1 [Stat.CO] 12 Jul 2019
CONTRIBUTED RESEARCH ARTICLE 1 rcosmo: R Package for Analysis of Spherical, HEALPix and Cosmological Data Daniel Fryer, Ming Li, Andriy Olenko Abstract The analysis of spatial observations on a sphere is important in areas such as geosciences, physics and embryo research, just to name a few. The purpose of the package rcosmo is to conduct efficient information processing, visualisation, manipulation and spatial statistical analysis of Cosmic Microwave Background (CMB) radiation and other spherical data. The package was developed for spherical data stored in the Hierarchical Equal Area isoLatitude Pixelation (Healpix) representation. rcosmo has more than 100 different functions. Most of them initially were developed for CMB, but also can be used for other spherical data as rcosmo contains tools for transforming spherical data in cartesian and geographic coordinates into the HEALPix representation. We give a general description of the package and illustrate some important functionalities and benchmarks. Introduction Directional statistics deals with data observed at a set of spatial directions, which are usually positioned on the surface of the unit sphere or star-shaped random particles. Spherical methods are important research tools in geospatial, biological, palaeomagnetic and astrostatistical analysis, just to name a few. The books (Fisher et al., 1987; Mardia and Jupp, 2009) provide comprehensive overviews of classical practical spherical statistical methods. Various stochastic and statistical inference modelling issues are covered in (Yadrenko, 1983; Marinucci and Peccati, 2011). The CRAN Task View Spatial shows several packages for Earth-referenced data mapping and analysis. All currently available R packages for spherical data can be classified in three broad groups. The first group provides various functions for working with geographic and spherical coordinate systems and their visualizations. -
5–21 5.5 Miscellaneous Projections GMT Supports 6 Common
GMT TECHNICAL REFERENCE & COOKBOOK 5–21 5.5 Miscellaneous Projections GMT supports 6 common projections for global presentation of data or models. These are the Hammer, Mollweide, Winkel Tripel, Robinson, Eckert VI, and Sinusoidal projections. Due to the small scale used for global maps these projections all use the spherical approximation rather than more elaborate elliptical formulae. 5.5.1 Hammer Projection (–Jh or –JH) The equal-area Hammer projection, first presented by Ernst von Hammer in 1892, is also known as Hammer-Aitoff (the Aitoff projection looks similar, but is not equal-area). The border is an ellipse, equator and central meridian are straight lines, while other parallels and meridians are complex curves. The projection is defined by selecting • The central meridian • Scale along equator in inch/degree or 1:xxxxx (–Jh), or map width (–JH) A view of the Pacific ocean using the Dateline as central meridian is accomplished by running the command pscoast -R0/360/-90/90 -JH180/5 -Bg30/g15 -Dc -A10000 -G0 -P -X0.1 -Y0.1 > hammer.ps 5.5.2 Mollweide Projection (–Jw or –JW) This pseudo-cylindrical, equal-area projection was developed by Mollweide in 1805. Parallels are unequally spaced straight lines with the meridians being equally spaced elliptical arcs. The scale is only true along latitudes 40˚ 44' north and south. The projection is used mainly for global maps showing data distributions. It is occasionally referenced under the name homalographic projection. Like the Hammer projection, outlined above, we need to specify only -
Comparison of Spherical Cube Map Projections Used in Planet-Sized Terrain Rendering
FACTA UNIVERSITATIS (NIS)ˇ Ser. Math. Inform. Vol. 31, No 2 (2016), 259–297 COMPARISON OF SPHERICAL CUBE MAP PROJECTIONS USED IN PLANET-SIZED TERRAIN RENDERING Aleksandar M. Dimitrijevi´c, Martin Lambers and Dejan D. Ranˇci´c Abstract. A wide variety of projections from a planet surface to a two-dimensional map are known, and the correct choice of a particular projection for a given application area depends on many factors. In the computer graphics domain, in particular in the field of planet rendering systems, the importance of that choice has been neglected so far and inadequate criteria have been used to select a projection. In this paper, we derive evaluation criteria, based on texture distortion, suitable for this application domain, and apply them to a comprehensive list of spherical cube map projections to demonstrate their properties. Keywords: Map projection, spherical cube, distortion, texturing, graphics 1. Introduction Map projections have been used for centuries to represent the curved surface of the Earth with a two-dimensional map. A wide variety of map projections have been proposed, each with different properties. Of particular interest are scale variations and angular distortions introduced by map projections – since the spheroidal surface is not developable, a projection onto a plane cannot be both conformal (angle- preserving) and equal-area (constant-scale) at the same time. These two properties are usually analyzed using Tissot’s indicatrix. An overview of map projections and an introduction to Tissot’s indicatrix are given by Snyder [24]. In computer graphics, a map projection is a central part of systems that render planets or similar celestial bodies: the surface properties (photos, digital elevation models, radar imagery, thermal measurements, etc.) are stored in a map hierarchy in different resolutions. -
A Bevy of Area Preserving Transforms for Map Projection Designers.Pdf
Cartography and Geographic Information Science ISSN: 1523-0406 (Print) 1545-0465 (Online) Journal homepage: http://www.tandfonline.com/loi/tcag20 A bevy of area-preserving transforms for map projection designers Daniel “daan” Strebe To cite this article: Daniel “daan” Strebe (2018): A bevy of area-preserving transforms for map projection designers, Cartography and Geographic Information Science, DOI: 10.1080/15230406.2018.1452632 To link to this article: https://doi.org/10.1080/15230406.2018.1452632 Published online: 05 Apr 2018. Submit your article to this journal View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=tcag20 CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE, 2018 https://doi.org/10.1080/15230406.2018.1452632 A bevy of area-preserving transforms for map projection designers Daniel “daan” Strebe Mapthematics LLC, Seattle, WA, USA ABSTRACT ARTICLE HISTORY Sometimes map projection designers need to create equal-area projections to best fill the Received 1 January 2018 projections’ purposes. However, unlike for conformal projections, few transformations have Accepted 12 March 2018 been described that can be applied to equal-area projections to develop new equal-area projec- KEYWORDS tions. Here, I survey area-preserving transformations, giving examples of their applications and Map projection; equal-area proposing an efficient way of deploying an equal-area system for raster-based Web mapping. projection; area-preserving Together, these transformations provide a toolbox for the map projection designer working in transformation; the area-preserving domain. area-preserving homotopy; Strebe 1995 projection 1. Introduction two categories: plane-to-plane transformations and “sphere-to-sphere” transformations – but in quotes It is easy to construct a new conformal projection: Find because the manifold need not be a sphere at all. -
Healpix Mapping Technique and Cartographical Application Omur Esen , Vahit Tongur , Ismail Bulent Gundogdu Abstract Hierarchical
HEALPix Mapping Technique and Cartographical Application Omur Esen1, Vahit Tongur2, Ismail Bulent Gundogdu3 1Selcuk University, Construction Offices and Infrastructure Presidency, [email protected] 2Necmettin Erbakan University, Computer Engineering Department of Engineering and Architecture Faculty, [email protected] 3Selcuk University, Geomatics Engineering Department of Engineering Faculty, [email protected] Abstract Hierarchical Equal Area isoLatitude Pixelization (HEALPix) system is defined as a layer which is used in modern astronomy for using pixelised data, which are required by developed detectors, for a fast true and proper scientific comment of calculation algoritms on spherical maps. HEALPix system is developed by experiments which are generally used in astronomy and called as Cosmic Microwave Background (CMB). HEALPix system reminds fragment of a sphere into 12 equal equilateral diamonds. In this study aims to make a litetature study for mapping of the world by mathematical equations of HEALPix celling/tesellation system in cartographical map making method and calculating and examining deformation values by Gauss Fundamental Equations. So, although HEALPix system is known as equal area until now, it is shown that this celling system do not provide equal area cartographically. Keywords: Cartography, Equal Area, HEALPix, Mapping 1. INTRODUCTION Map projection, which is classically defined as portraying of world on a plane, is effected by technological developments. Considering latest technological developments, we can offer definition of map projection as “3d and time varying space, it is the transforming techniques of space’s, earth’s and all or part of other objects photos in a described coordinate system by keeping positions proper and specific features on a plane by using mathematical relation.” Considering today’s technological developments, cartographical projections are developing on multi surfaces (polihedron) and Myriahedral projections which is used by Wijk (2008) for the first time. -
Representations of Celestial Coordinates in FITS
A&A 395, 1077–1122 (2002) Astronomy DOI: 10.1051/0004-6361:20021327 & c ESO 2002 Astrophysics Representations of celestial coordinates in FITS M. R. Calabretta1 and E. W. Greisen2 1 Australia Telescope National Facility, PO Box 76, Epping, NSW 1710, Australia 2 National Radio Astronomy Observatory, PO Box O, Socorro, NM 87801-0387, USA Received 24 July 2002 / Accepted 9 September 2002 Abstract. In Paper I, Greisen & Calabretta (2002) describe a generalized method for assigning physical coordinates to FITS image pixels. This paper implements this method for all spherical map projections likely to be of interest in astronomy. The new methods encompass existing informal FITS spherical coordinate conventions and translations from them are described. Detailed examples of header interpretation and construction are given. Key words. methods: data analysis – techniques: image processing – astronomical data bases: miscellaneous – astrometry 1. Introduction PIXEL p COORDINATES j This paper is the second in a series which establishes conven- linear transformation: CRPIXja r j tions by which world coordinates may be associated with FITS translation, rotation, PCi_ja mij (Hanisch et al. 2001) image, random groups, and table data. skewness, scale CDELTia si Paper I (Greisen & Calabretta 2002) lays the groundwork by developing general constructs and related FITS header key- PROJECTION PLANE x words and the rules for their usage in recording coordinate in- COORDINATES ( ,y) formation. In Paper III, Greisen et al. (2002) apply these meth- spherical CTYPEia (φ0,θ0) ods to spectral coordinates. Paper IV (Calabretta et al. 2002) projection PVi_ma Table 13 extends the formalism to deal with general distortions of the co- ordinate grid. -
Cylindrical Projections 27
MAP PROJECTION PROPERTIES: CONSIDERATIONS FOR SMALL-SCALE GIS APPLICATIONS by Eric M. Delmelle A project submitted to the Faculty of the Graduate School of State University of New York at Buffalo in partial fulfillments of the requirements for the degree of Master of Arts Geographical Information Systems and Computer Cartography Department of Geography May 2001 Master Advisory Committee: David M. Mark Douglas M. Flewelling Abstract Since Ptolemeus established that the Earth was round, the number of map projections has increased considerably. Cartographers have at present an impressive number of projections, but often lack a suitable classification and selection scheme for them, which significantly slows down the mapping process. Although a projection portrays a part of the Earth on a flat surface, projections generate distortion from the original shape. On world maps, continental areas may severely be distorted, increasingly away from the center of the projection. Over the years, map projections have been devised to preserve selected geometric properties (e.g. conformality, equivalence, and equidistance) and special properties (e.g. shape of the parallels and meridians, the representation of the Pole as a line or a point and the ratio of the axes). Unfortunately, Tissot proved that the perfect projection does not exist since it is not possible to combine all geometric properties together in a single projection. In the twentieth century however, cartographers have not given up their creativity, which has resulted in the appearance of new projections better matching specific needs. This paper will review how some of the most popular world projections may be suited for particular purposes and not for others, in order to enhance the message the map aims to communicate. -
Map Projections
Map Projections Map Projections A Reference Manual LEV M. BUGAYEVSKIY JOHN P. SNYDER CRC Press Taylor & Francis Croup Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business Published in 1995 by CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 1995 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group No claim to original U.S. Government works Printed in the United States of America on acid-free paper 1 International Standard Book Number-10: 0-7484-0304-3 (Softcover) International Standard Book Number-13: 978-0-7484-0304-2 (Softcover) This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or for the consequences of their use. No part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. Library of Congress Cataloging-in-Publication Data Catalog record is available from the Library of Congress Visit the Taylor & Francis Web site at http ://www. -
Octahedron-Based Projections As Intermediate Representations for Computer Imaging: TOAST, TEA and More
Draft version December 11, 2018 Typeset using LATEX default style in AASTeX62 Octahedron-Based Projections as Intermediate Representations for Computer Imaging: TOAST, TEA and More. Thomas McGlynn,1 Jonathan Fay,2 Curtis Wong,2 and Philip Rosenfield3 1NASA/Goddard Space Flight Center Greenbelt, MD 20771, USA 2Microsoft Research One Microsoft Way Redmond, WA 98052, USA 3American Astronomical Society 1667 K St NW Suite 800 Washington, DC 20006, USA Submitted to ApJ ABSTRACT This paper defines and discusses a set of rectangular all-sky projections which have no singular points, notably the Tesselated Octahedral Adaptive Spherical Transformation (or TOAST) developed initially for the WorldWide Telescope (WWT). These have proven to be useful as intermediate representations for imaging data where the application transforms dynamically from a standardized internal format to a specific format (projection, scaling, orientation, etc.) requested by the user. TOAST is strongly related to the Hierarchical Triangular Mesh (HTM) pixelization and is particularly well adapted to the situations where one wishes to traverse a hierarchy of increasing resolution images. Since it can be recursively computed using a very simple algorithm it is particularly adaptable to use by graphical processing units. Keywords: Data Analysis and Techniques, Astrophysical Data 1. INTRODUCTION Hundreds of map projections have been developed over the course of many centuries (e.g., see Snyder 1997) trying to represent a spherical surface despite the physical realities of publishing information on flat sheets of paper and monitors. Different projections are designed to meet different goals: the Mercator projection is designed to ease navigation, it accurately represents the directions between nearby points so that a sailor can steer a boat properly. -
Healpix Fortran90 Subroutines Overview
HEALPix Fortran90 Subroutines Overview Revision: Version 2.15a; June 18, 2010 Prepared by: Eric Hivon, Hans K. Eriksen, Frode K. Hansen, Ben- jamin D. Wandelt, Krzysztof M. G´orski, Anthony J. Banday and Martin Reinecke Abstract: This document is an overview of the HEALPix For- tran90 subroutines. 2 HEALPix Fortran90 Subroutines Overview Contents Conventions . 6 Changes between release 2.13 and 2.14 . 6 Changes between release 2.0 and 2.13 . 6 Changes between release 1.2 and 2.0 . 7 Changes between release 1.1 and 1.2 . 8 add card . 10 add dipole* . 12 alm2cl* . 14 alm2map* . 16 alm2map der* . 19 alm2map spin* . 22 alms2fits* . 25 alter alm*....................................... 28 ang2vec . 31 angdist . 32 assert, assert alloc, assert directory present, assert not present, assert present . 34 brag openmp . 36 complex fft ...................................... 37 compute statistics* . 38 concatnl . 40 convert inplace* . 42 convert nest2ring* . 44 convert ring2nest* . 46 coordsys2euler zyz .................................. 48 create alm* . 50 del card ........................................ 55 dump alms* . 57 fits2alms* . 59 fits2cl* . 62 gaussbeam . 64 generate beam .................................... 66 get card . 68 HEALPix 2.15a CONTENTS 3 get healpix data dir, get healpix main dir, get healpix test dir . 70 getArgument . 71 getEnvironment . 72 getdisc ring . 73 getnumext fits..................................... 74 getsize fits....................................... 76 healpix modules module . 79 healpix types module . 80 in ring . 82 input map* . 84 input tod*....................................... 86 map2alm* . 88 map2alm iterative* . 91 map2alm spin* . 95 medfiltmap* . 98 median* . 100 merge headers . 102 mpi alm tools* . 104 mpi alm2map* . 106 mpi alm2map simple* . 108 mpi alm2map slave . 110 mpi cleanup alm tools . 112 mpi initialize alm tools . 114 mpi map2alm* . -
5 Orbit and Ground Track of a Satellite
5 Orbit and Ground Track of a Satellite 5.1 Position of the Satellite on its Orbit Let (O; x, y, z) be the Galilean reference frame already defined. The satellite S is in an elliptical orbit around the centre of attraction O. The orbital plane P makes a constant angle i with the equatorial plane E. However, although this plane P is considered as fixed relative to in the Keplerian motion, in a real (perturbed) motion, it will in fact rotate about the polar axis. This is precessional motion,1 occurring with angular speed Ω˙ , as calculated in the last two chapters. A schematic representation of this motion is given in Fig. 5.1. We shall describe the position of S in using the Euler angles. 5.1.1 Position of the Satellite The three Euler angles ψ, θ and χ were introduced in Sect. 2.3.2 to specify the orbit and its perigee in space. In the present case, we wish to specify S. We obtain the correspondence between the Euler angles and the orbital elements using Fig. 2.1: ψ = Ω, (5.1) θ = i, (5.2) χ = ω + v. (5.3) Although they are fixed for the Keplerian orbit, the angles Ω, ω and M − nt vary in time for a real orbit. The inclination i remains constant, however. The distance from S to the centre of attraction O is given by (1.41), expressed in terms of the true anomaly v : a(1 − e2) r = . (5.4) 1+e cos v 1 The word ‘precession’, meaning ‘the action of preceding’, was coined by Coper- nicus around 1530 (præcessio in Latin) to speak about the precession of the equinoxes, i.e., the retrograde motion of the equinoctial points. -
A Square Equal-Area Map Projection Withlow Angular Distortion
A Square Equal-area Map Projection with Low Angular Distortion, Minimal Cusps, and Closed-form Solutions MATTHEW A. PETROFF, Johns Hopkins University, USA A novel square equal-area map projection is proposed. The projection combines closed-form forward and inverse solutions with relatively low angular distortion and minimal cusps, a com- bination of properties not manifested by any previously published square equal-area projection. Thus, the new projection has lower angular distortion than any previously published square equal-area projection with a closed-form solution. Utilizing a quincuncial arrangement, the new projection places the north pole at the center of the square and divides the south pole between its four corners; the projection can be seamlessly tiled. The existence of closed-form solutions makes the projection suitable for real-time visualization applications, both in cartography and in other areas, such as for the display of panoramic images. CCS Concepts: • Human-centered computing Geographic visualization; • Computing ! methodologies Image processing. ! Additional Key Words and Phrases: map projection, world map, equal-area, quincuncial, panoramic images, sky maps 1 INTRODUCTION Although there is a plenitude of map projections [21], there has been relatively little work done on square equal-area projections. As noted by Gringorten [9], a square aspect ratio is useful for printed atlases, since it allows for a standard page to be efficiently filled with a map along with a title and descriptive caption. Equal-area projections are useful for displaying climatology and population data on the Earth, as well as for displaying cosmology data on the celestial sphere. Mappings from the sphere to the square are also useful in computer graphics applications, such as the display of panoramic images, since textures used by graphic processing units (GPUs) are often square.