Differences in Thematic Map Reading by Students and Their Geography Teacher
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Density-Equalizing Map Projections: Diffusion-Based Algorithm and Applications
Density-equalizing map projections: Diffusion-based algorithm and applications Michael T. Gastner and M. E. J. Newman Physics Department and Center for the Study of Complex Systems,, University of Michigan, Ann Arbor, MI 48109 Abstract Map makers have for many years searched for a way to construct cartograms|maps in which the sizes of geographic regions such as coun- tries or provinces appear in proportion to their population or some sim- ilar property. Such maps are invaluable for the representation of census results, election returns, disease incidence, and many other kinds of hu- man data. Unfortunately, in order to scale regions and still have them fit together, one is normally forced to distort the regions' shapes, po- tentially resulting in maps that are difficult to read. Here we present a technique for making cartograms based on ideas borrowed from elemen- tary physics that is conceptually simple and produces easily readable maps. We illustrate the method with applications to disease and homi- cide cases, energy consumption and production in the United States, and the geographical distribution of stories appearing in the news. 1 2 Michael T. Gastner and M. E. J. Newman 1 Introduction Suppose we wish to represent on a map some data concerning, to take the most common example, the human population. For instance, we might wish to show votes in an election, incidence of a disease, number of cars, televisions, or phones in use, numbers of people falling in one group or another of the population, by age or income, or any other variable of statistical, medical, or demographic interest. -
Cartography. the Definitive Guide to Making Maps, Sample Chapter
Cartograms Cartograms offer a way of accounting for differences in population distribution by modifying the geography. Geography can easily get in the way of making a good Consider the United States map in which thematic map. The advantage of a geographic map is that it states with larger populations will inevitably lead to larger numbers for most population- gives us the greatest recognition of shapes we’re familiar with related variables. but the disadvantage is that the geographic size of the areas has no correlation to the quantitative data shown. The intent However, the more populous states are not of most thematic maps is to provide the reader with a map necessarily the largest states in area, and from which comparisons can be made and so geography is so a map that shows population data in the almost always inappropriate. This fact alone creates problems geographical sense inevitably skews our perception of the distribution of that data for perception and cognition. Accounting for these problems because the geography becomes dominant. might be addressed in many ways such as manipulating the We end up with a misleading map because data itself. Alternatively, instead of changing the data and densely populated states are relatively small maintaining the geography, you can retain the data values but and vice versa. Cartograms will always give modify the geography to create a cartogram. the map reader the correct proportion of the mapped data variable precisely because it modifies the geography to account for the There are four general types of cartogram. They each problem. distort geographical space and account for the disparities caused by unequal distribution of the population among The term cartogramme can be traced to the areas of different sizes. -
GEOGRAPHY(Honours)
University of Gour Banga Syllabus for Choice Based Credit System(CBCS) (Semester System) Semester (I+II+III+IV+V+VI) SUBJECT: GEOGRAPHY(Honours) University of Gour Banga P.O. – Mokdumpur, Dist. – Malda West Bengal PIN - 732103 UNIVERSITY OF GOUR BANGA Syllabus (CBCS) Geography Honours Descriptive Type Question pattern For Discipline Core (DC) and Discipline Specific Elective (DSE) Theory (Semester End Written Examination) Full Marks = 25 (10 Marks x 1 Question) + (5 Marks x 3 Questions) Internal Assessment Full Marks = 10 (As mentioned in corresponding syllabus) Practical (Semester End Laboratory based Test) Full Marks = 15 (07 Marks x 1 Practical) + (05 Marks x 1 Practical) + (03 Marks for Laboratory Note Book & Viva-voce) Word limits for descriptive type questions (Theory) 10 marks: 600 - 700 5 marks: 300 - 350 For Skill Enhancement Course (SEC) Theory (Semester End Written Examination) Full Marks = 40 (10 Marks x 2 Question) + (5 Marks x 4 Questions) 2 UNIVERSITY OF GOUR BANGA Syllabus (CBCS) Geography Honours Duration of Examination Theory paper of 25 marks: 1.5 hours Theory paper of 40 marks: 2 hours Practical paper of 15 marks: 1.5 hours Practical paper of 50 marks: 4 hours Semester wise Course Structure under CBCS For B.A. /B.Sc. / B.Com. (Hons.) Courses C O U R S E S Academic Discipline Discipline Ability Enhancement Skill Generic Marks Semesters Core Specific Compulsory Enhancement Credits Elective (DC) Elective (AEC) Course (GE) (DSE) (SEC) ENVS SEM-I DC1(6) GE-1 -- (2) -- 20 200 DC2(6) (6) Communicative SEM-II DC3(6) GE-2 English/Communicative -- -- 20 200 DC4(6) (6) Bengali/MIL (2) DC5(6) GE-3 -- SEM-III DC6(6) -- -- 24 200 (6) DC7(6) DC8(6) GE-4 -- SEM-IV DC9(6) -- -- 24 200 (6) DC10(6) -- DC11(6) DSE-1 (6) SEC-1 250 SEM-V -- 26 DC12(6) DSE-2 (6) (2) DSE-3 (6) DC13(6) -- SEC-2 SEM-VI DSE / DP -- 26 250 DC14(6) (2) -4(6) Total -- -- -- -- -- 140 1300 3 UNIVERSITY OF GOUR BANGA Syllabus (CBCS) Geography Honours Marks & Question type Distribution for Hons. -
Legend-Less Maps
Legend-less Maps MD. MARUFUR RAHMAN September 2017 SUPERVISORS: Prof. Dr. M. J. Kraak Prof. Dr. Georg Gartner Legend-less Maps MD. MARUFUR RAHMAN Enschede, The Netherlands, September 2017 Thesis submitted to the Faculty of Geo-Information Science and Earth Observation of the University of Twente in partial fulfilment of the requirements for the degree of Master of Science in Geo-information Science and Earth Observation. Specialization: Cartography SUPERVISORS: Prof. Dr. M. J. Kraak Prof. Dr. Georg Gartner THESIS ASSESSMENT BOARD: Dr. R. Zurita Milla (Chair) Prof. Dr. Georg Gartner (External Examiner, TU Wien) DISCLAIMER This document describes work undertaken as part of a programme of study at the Faculty of Geo-Information Science and Earth Observation of the University of Twente. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the Faculty. ABSTRACT Now a day we see many maps without legend. Academic literature on legend is limited and most of them dealing with the replacement of traditional legend with other form of legend. No scientific research has been done on legend-less maps although maps are available, particularly in news media. In this research, maps have been designed with legend, replacing legend by annotation and putting legend in the title in case of three main thematic maps (chorochromatic, choropleth, isopleth and proportional symbol). Designed maps are tested to measure the usability of different version of maps in terms of effectiveness, efficiency and satisfactions. Stages of map reading process described by Bertin (1983) also have been tested. Mixed methods have been used for usability survey including questionnaires, thinking aloud, eye tracking and video recording to conduct the tests. -
Cartogram Data Projection for Self-Organizing Maps
Cartogram Data Projection for Self-Organizing Maps David H. Brown and Lutz Hamel Dept. of Computer Science and Statistics University of Rhode Island USA Email: [email protected] or [email protected] Abstract— Self-Organizing Maps (SOMs) are often visualized During training, adjustments to each node’s n- by applying Ultsch’s Unified Distance Matrix (U-Matrix) and dimensional values are also partially applied to nodes found labeling the cells of the 2-D grid with training data within a time step sensitive radius of its 2-D grid position. observations. Although powerful and the de facto standard Thus, changes in feature-space values are smoothed, forming visualization for SOMs, this does not provide for two key clusters of similar values within the local neighborhoods on pieces of information when considering real world data mining the 2-D grid. applications: (a) While the U-Matrix indicates the location of Clustering is often indicated by shading each cell to possible clusters on the map, it typically does not accurately indicate the average distance in feature-space of the node to convey the size of the underlying data population within these its 2-D grid neighbors; this is the Unified Distance Matrix clusters. (b) When mapping training data observations onto (U-Matrix) [2]. To map training data to this grid, the node the 2-D grid of the SOM it often occurs that multiple observations are mapped onto a single cell of the grid. Simply nearest in feature-space to a training observation is labeling the observations on a single cell does not provide any identified. -
Maps and Diagrams. Their Compilation and Construction
~r HJ.Mo Mouse andHR Wilkinson MAPS AND DIAGRAMS 8 his third edition does not form a ramatic departure from the treatment of artographic methods which has made it a standard text for 1 years, but it has developed those aspects of the subject (computer-graphics, quantification gen- erally) which are likely to progress in the uture. While earlier editions were primarily concerned with university cartography ‘ourses and with the production of the- matic maps to illustrate theses, articles and books, this new edition takes into account the increasing number of professional cartographer-geographers employed in Government departments, planning de- partments and in the offices of architects pnd civil engineers. The authors seek to ive students some idea of the novel and xciting developments in tools, materials, echniques and methods. The growth, mounting to an explosion, in data of all inds emphasises the increasing need for discerning use of statistical techniques, nevitably, the dependence on the com- uter for ordering and sifting data must row, as must the degree of sophistication n the techniques employed. New maps nd diagrams have been supplied where ecessary. HIRD EDITION PRICE NET £3-50 :70s IN U K 0 N LY MAPS AND DIAGRAMS THEIR COMPILATION AND CONSTRUCTION MAPS AND DIAGRAMS THEIR COMPILATION AND CONSTRUCTION F. J. MONKHOUSE Formerly Professor of Geography in the University of Southampton and H. R. WILKINSON Professor of Geography in the University of Hull METHUEN & CO LTD II NEW FETTER LANE LONDON EC4 ; © ig6g and igyi F.J. Monkhouse and H. R. Wilkinson First published goth October igj2 Reprinted 4 times Second edition, revised and enlarged, ig6g Reprinted 3 times Third edition, revised and enlarged, igyi SBN 416 07440 5 Second edition first published as a University Paperback, ig6g Reprinted 5 times Third edition, igyi SBN 416 07450 2 Printed in Great Britain by Richard Clay ( The Chaucer Press), Ltd Bungay, Suffolk This title is available in both hard and paperback editions. -
Chapter 1. Map Study and Interpretation
Chapter 1. Map Study and Interpretation 1.1. Maps A map is a visual representation of an area—a symbolic depiction highlighting relationships between elements of that space such as objects, regions, and themes. Many maps are static two-dimensional, geometrically accurate (or approximately accurate) representations of three-dimensional space, while others are dynamic or interactive, even three-dimensional. Although most commonly used to depict geography, maps may represent any space, real or imagined, without regard to context or scale; e.g. brain mapping, DNA mapping, and extraterrestrial mapping. 1.2. Types of Maps Maps are one of the most important tools researchers, cartographers, students and others can use to examine the entire Earth or a specific part of it. Simply defined maps are pictures of the Earth's surface. They can be general reference and show landforms, political boundaries, water, the locations of cities, or in the case of thematic maps, show different but very specific topics such as the average rainfall distribution for an area or the distribution of a certain disease throughout a county. Today with the increased use of GIS, also known as Geographic Information Systems, thematic maps are growing in importance. A map is a visual representation of an area – a symbolic depiction highlighting relationships between elements of that space such as objects, regions, and themes. There are however applications for different types of general reference maps when the different types are understood correctly. These maps do not just show a city's location for example; instead the different map types can show a plethora of information about places around the world. -
Investigating Adolescents' Interpretations And
INVESTIGATING ADOLESCENTS’ INTERPRETATIONS AND PRODUCTIONS OF THEMATIC MAPS AND MAP ARGUMENT PERFORMANCES IN THE MEDIA By Nathan Charles Phillips Dissertation Submitted to the Faculty of the Graduate School of Vanderbilt University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in Learning, Teaching and Diversity December, 2013 Nashville, Tennessee Approved: Professor Kevin M. Leander Professor Rogers Hall Professor Pratim Sengupta Professor Jay Clayton Professor Cynthia Lewis To Julee and To Jenna, Amber, Lukas, Isaac, and Esther ! ii ACKNOWLEDGEMENTS My dissertation work was financially supported by the National Science Foundation through the Tangibility for the Teaching, Learning, and Communicating of Mathematics grant (NSF DRL-0816406) and by Peabody College at Vanderbilt University and the Department of Teaching and Learning. I feel most grateful to the young people I worked with. I hope I have done justice to their efforts to learn, laugh, and play with thematic maps. Mr. Norman welcomed me into his classroom and graciously gave me the space and time for this work. He was interested, supportive, and generous throughout. The district and school administrators and office staff at Local County High School were welcoming and accommodating, including the librarians who made some of the technology possible. It would be impossible to express how much my life and scholarship have been directed and supported by Kevin Leander and Rogers Hall over the last six years. Their brilliance, innovative thinking, and academic mentorship are only surpassed by their kind hearts and good friendship. I will forever be blessed by Kevin’s willingness to take me on as a doctoral student and for his invitation to join the SLaMily with Rogers, Katie Headrick Taylor, and Jasmine Ma. -
Heat Maps: Perfect Maps for Quick Reading? Comparing Usability of Heat Maps with Different Levels of Generalization
International Journal of Geo-Information Article Heat Maps: Perfect Maps for Quick Reading? Comparing Usability of Heat Maps with Different Levels of Generalization Katarzyna Słomska-Przech * , Tomasz Panecki and Wojciech Pokojski Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Krakowskie Przedmiescie 30, 00-927 Warsaw, Poland; [email protected] (T.P.); [email protected] (W.P.) * Correspondence: [email protected] Abstract: Recently, due to Web 2.0 and neocartography, heat maps have become a popular map type for quick reading. Heat maps are graphical representations of geographic data density in the form of raster maps, elaborated by applying kernel density estimation with a given radius on point- or linear-input data. The aim of this study was to compare the usability of heat maps with different levels of generalization (defined by radii of 10, 20, 30, and 40 pixels) for basic map user tasks. A user study with 412 participants (16–20 years old, high school students) was carried out in order to compare heat maps that showed the same input data. The study was conducted in schools during geography or IT lessons. Objective (the correctness of the answer, response times) and subjective (response time self-assessment, task difficulty, preferences) metrics were measured. The results show that the smaller radius resulted in the higher correctness of the answers. A larger radius did not result in faster response times. The participants perceived the more generalized maps as easier to use, although this result did not match the performance metrics. -
Thematic Mapping Engine
Institute of Geography - School of GeoSciences - University of Edinburgh MSc in Geographical Information Science 2008 Awarded with Distinction Part 2: Supporting Document Thematic Mapping Engine Bjørn Sandvik This document is available from thematicmapping.org under a Creative Commons Attribution- Share Alike 3.0 License : http://creativecommons.org/licenses/by-sa/3.0/ Thematic Mapping Engine Bjørn Sandvik Table of contents 1. Introduction 5 2. The Thematic Mapping Engine 7 2.1 Requirements .......................................................................................................7 2.3 The TME web Interface.......................................................................................8 2.3.1 User guide .....................................................................................................9 2.3.2 How the web interface works .....................................................................10 2.4 TME Application Programming Interface (API)...............................................13 2.4.1 TME DataConnector class ..........................................................................14 2.4.2 TME ThematicMap class............................................................................15 3. Data preparation 17 3.1 Using open data..................................................................................................17 3.2 UN statistics.......................................................................................................17 3.3 World borders dataset ........................................................................................18 -
Cartogram [1883 WORDS]
Vol. 6: Dorling/Cartogram/entry Dorling, D. (forthcoming) Cartogram, Chapter in Monmonier, M., Collier, P., Cook, K., Kimerling, J. and Morrison, J. (Eds) Volume 6 of the History of Cartography: Cartography in the Twentieth Century, Chicago: Chicago University Press. [This is a pre-publication Draft, written in 2006, edited in 2009, edited again in 2012] Cartogram A cartogram can be thought of as a map in which at least one aspect of scale, such as distance or area, is deliberately distorted to be proportional to a variable of interest. In this sense, a conventional equal-area map is a type of area cartogram, and the Mercator projection is a cartogram insofar as it portrays land areas in proportion (albeit non-linearly) to their distances from the equator. According to this definition of cartograms, which treats them as a particular group of map projections, all conventional maps could be considered as cartograms. However, few images usually referred to as cartograms look like conventional maps. Many other definitions have been offered for cartograms. The cartography of cartograms during the twentieth century has been so multifaceted that no solid definition could emerge—and multiple meanings of the word continue to evolve. During the first three quarters of that century, it is likely that most people who drew cartograms believed that they were inventing something new, or at least inventing a new variant. This was because maps that were eventually accepted as cartograms did not arise from cartographic orthodoxy but were instead produced mainly by mavericks. Consequently, they were tolerated only in cartographic textbooks, where they were often dismissed as marginal, map-like objects rather than treated as true maps, and occasionally in the popular press, where they appealed to readers’ sense of irony. -
The Use of Maps in the Exploration of Geographic Data Voorwerk Elzakker 08-10-2004 16:01 Pagina 2 Menno Data:Tijdelijke Orders:NGS 326 Elzakker
Voorwerk Elzakker 08-10-2004 16:01 Pagina 1 Menno Data:Tijdelijke Orders:NGS 326 Elzakker: The use of maps in the exploration of geographic data Voorwerk Elzakker 08-10-2004 16:01 Pagina 2 Menno Data:Tijdelijke Orders:NGS 326 Elzakker: Nederlandse Geografische Studies / Netherlands Geographical Studies Redactie / Editorial Board Drs. J.G. Borchert (Editor in Chief) Prof. Dr. J.M.M. van Amersfoort Dr. H.J.A. Berendsen Dr. P.C.J. Druijven Prof. Dr. A.O. Kouwenhoven Prof. Dr. H. Scholten Plaatselijke Redacteuren / Local Editors Drs. J.G. Borchert, Faculteit Geowetenschappen Universiteit Utrecht Dr. D.H. Drenth, Faculteit Beleidswetenschappen Katholieke Universiteit Nijmegen Dr. P.C.J. Druijven, Faculteit der Ruimtelijke Wetenschappen Rijksuniversiteit Groningen Drs. F.J.P.M. Kwaad, Fysich-Geografisch en Bodemkundig Laboratorium Universiteit van Amsterdam Dr. L. van der Laan, Economisch-Geografisch Instituut Erasmus Universiteit Rotterdam Dr. J.A. van der Schee, Centrum voor Educatieve Geografie Vrije Universiteit Amsterdam Dr. F. Thissen, Instituut voor Sociale Geografie Universiteit van Amsterdam Redactie-Adviseurs / Editorial Advisory Board Prof. Dr. G.J. Ashworth, Prof. Dr. P.G.E.F. Augustinus, Prof. Dr. G.J. Borger, Prof. Dr. K. Bouwer, Prof. Dr. J. Buursink, Dr C. Cortie, Dr. J. Floor, Prof. Dr. G.A. Hoekveld, Dr. A.C. Imeson, Prof. Dr. J.M.G. Kleinpenning, Dr. W.J. Meester, Prof. Dr. F.J. Ormeling, Prof. Dr. H.F.L. Ottens, Dr. J. Sevink, Dr. W.F. Sleegers, T.Z. Smit, Drs. P.J.M. van Steen, Dr. J.J. Sterkenburg, Drs. H.A.W. van Vianen, Prof. Dr.J. van Weesep ISSN 0169-4839 Voorwerk Elzakker 08-10-2004 16:01 Pagina 3 Menno Data:Tijdelijke Orders:NGS 326 Elzakker: Netherlands Geographical Studies 326 The use of maps in the exploration of geographic data Corné P.