Mapping

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144 o W 136 o W 128 o W 30 o N Simulated surface winds 120 o W 112 o W 54 o N 48 o N 42 o N 36 o N Simulated something else
<strong>Mapping</strong> Introduction to MATLAB mapping Toolbox Data Models Map projections MATLAB mapping Toolbox and georeferencing Introduction to M_map Toolbox Laboratory exercises: <strong>Mapping</strong> Plotting images Plotting elevation maps World map MATLAB utility Google map loader Getting satellite data from internet Representing results of a monitoring campaign Romà Tauler (IDAEA, CSIC, Barcelona)
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Mapping Introduction to MATLAB mapp
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0 � 45 � N Map examples 180 �
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Example 3 --------- % Map of Antarc
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Example 5 --------- % Map of the ge
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Example 6 --------- % Map of terrai
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GEOSHOW Display map latitude and lo
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Example 2 --------- % Create a worl
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Example 4 --------- % Display the E
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Example 7 % Read and display the Sa
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Plotting raster (grid) data in MATL
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From vectors to raster (grids) >> i
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From vectors to rastrer (grids) >>
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Map Projections All geospatial data
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But what projection should I use? M
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MAPPING GUIs AXESM GUI AXESM activa
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MapTools Projections CLASS NAME ID
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MAPPING DEMOS mapexkmlexport — Ex
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efvec= [cells-per-degree, north lat
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-90,-180 SW 90,-180 NW Building and
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5) Map de data using mesm and displ
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Computing Map limits from reference
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BUILDING A GEOREFERENCE MATRIX, R R
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Producing map images (ex. from goog
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geoshow(AI,R)
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Map Viewer
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Mapping (MATLAB) georeferencing: ma
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% It's well known that at its most
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% Average these to determine the ce
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imformats EXT ISA INFO READ WRITE A
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Getting started with the M_map MATL
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Finally (!), we may want to alter t
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Specifying map projections in the M
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case 2, m_proj('lambert','long',[-1
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case 4, subplot(211); Slongs=[-100
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case 6, lambert projection % Plot a
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case 8, m_vec; M_VEC Draws fancy ar
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case 11, % example showing range ri
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% Colouring the ocean blue clf m_pr
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Map Projections m_proj Initializes
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1. Azimuthal projections The defaul
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Map Projections Stereographic Proje
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2. Cylindrical and Pseudo-cylindric
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60 o N 30 o N 0 o 30 o S 60 o S Map
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Map Projections Sinusoidal, Mollwei
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3. Conic Projections The map limits
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Page 134 and 135: 4. Miscellaneous global projections
Page 136 and 137: Coastlines and Bathymetry M_Map inc
Page 138 and 139: Example >> m_proj('oblique mercator
Page 140 and 141: Adding your own coastlines Filled c
Page 142 and 143: Adding your own coastlines If you a
Page 144 and 145: Topography/Bathymetry options M_Map
Page 146 and 147: Examples >> m_proj('oblique mercato
Page 148 and 149: Sandwell and Smith Bathymetry A rec
Page 150 and 151: Using TerrainBase 5-minute or ETOPO
Page 152 and 153: Adding your own topography/bathymet
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Page 156 and 157: Mission Multichannel sea surface te
Page 159 and 160: Examples of satellite data manipula
Page 161 and 162: Examples of satellite data manipula
Page 163 and 164: How to install GSHHS: Go to http://
Page 165 and 166: Customizing axes Grid lines and lab
Page 167 and 168: Customizing axes. Grid lines and la
Page 169 and 170: help m_grid m_grid make a grid on a
Page 171 and 172: Adding your own data The data units
Page 173 and 174: Drawing lines, text, arrows, patche
Page 175 and 176: Fancy arrows (i.e. with width, head
Page 177 and 178: Drawing tracklines It is sometimes
Page 179 and 180: m_lldist can find both distances an
Page 181 and 182: Converting longitude/latitude to pr
Page 183 and 184: Removing data from a plot Once a gi
Page 188 and 189: A=imread('moon.tif') image(A) image
Page 190 and 191: Table: summary of supported image t
Page 192 and 193: Elevation map from Catalonia From t
Page 194 and 195: MATLAB world map and plot map utili
Page 196 and 197: Simple Google Map Loader in MATLAB.
Page 204 and 205: Mapping Introduction to MATLAB mapp
Page 206 and 207: To calculate the geographic locatio
Page 208 and 209: temp2=temp(1:4:4096,1:4:8192); dx=3
Page 211 and 212: Mapping Introduction to MATLAB mapp
Page 213 and 214: Approximate ice limit PROYECTO ATOS
Page 215 and 216: depths (100,.. 1000 m) El CTD propo
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Page 219 and 220: RMSECV, RMSEC Loadings on PC 2 (31.
Page 221 and 222: Study of the fluorescence at differ
Page 223 and 224: MCR-ALS C1 Row 3 Decluttered200 Col
Page 225 and 226: MCR-ALS C3 Row 2 Decluttered Column
Page 227 and 228: Fluorescence PLS prediction from ot
Page 229 and 230: function mapatos(latlim,lonlim,latd
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From vectors to rastrer (grids) fun
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From vectors to rastrer (grids) >>
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From vectors to rastrer (grids) [Z,
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Mapping

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