Mapping

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Scores on PC 2 (31.00%) 5 4 3 Higher dissolved O 2 Samples/Scores Plot of yred11 42a 43b 39b 43c 41 43a Higher fluorescence and turbidimetry 42c 11 2 42b 23c 46b 23a 46c 28 5b 26b 13 21 24 12c 23b 1 46a 5a 10 15c 12b 26a 18c Intermediate 12a31 Last samples 36a 9c 14 samples 44 20b closer to the ice 0 48 30a 20a 18a 25 36b 15a 7 33a 15b 32 16 -1 8 33b 33c Initial 49b 9a 1 39c 6c 18b 34 35 37 samples 38 49a 29 459b 2b2a -2 3b 1b 3a 4a 17 40 39a 22 Higher 47 4b 6b 27a Salt Higher beam transmission 6a 27b Conduct -3 Temp -5 -4 -3 -2 -1 0 1 2 3 Scores on PC 1 (39.52%)
Study of the fluorescence at different depths for multiple samples 100x2 deepths (CTD down and up) Xfluor (80,200) 50 80 stations 60 50 40 30 20 10 0 0 20 40 60 80 100 120 140 160 180 200 10 20 30 40 50 60 70 80 60 50 100 150 200 50 40 30 Initial stations 20 10 45 40 35 30 25 20 15 10 5 Fluorescence at 425 nm excitation and 685 nm emission (chlorophila fluorescence.) 0 0 10 20 30 40 50 60 70 80 Last stations
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Mapping Introduction to MATLAB mapp
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0 � 45 � N Map examples 180 �
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42.5 � N 40.0 � N 37.5 � N 15
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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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30 � N 45 � N 15 � W 60 � N
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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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51 o N 48 o N 45 o N 42 o N 54 o N
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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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30 o N 40 o N 150 o W 50 o N 60 o N
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4. Miscellaneous global projections
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Coastlines and Bathymetry M_Map inc
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Example >> m_proj('oblique mercator
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Adding your own coastlines Filled c
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Adding your own coastlines If you a
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Topography/Bathymetry options M_Map
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Examples >> m_proj('oblique mercato
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Sandwell and Smith Bathymetry A rec
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Using TerrainBase 5-minute or ETOPO
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Adding your own topography/bathymet
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40 o N 10 o W 36 o N 5 o W 32 o N 0
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Mission Multichannel sea surface te
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Examples of satellite data manipula
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Examples of satellite data manipula
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How to install GSHHS: Go to http://
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Customizing axes Grid lines and lab
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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
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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
Page 217 and 218: oxyg 420 400 1b 2b 3b 380 1 2a 4a 3
Page 219: RMSECV, RMSEC Loadings on PC 2 (31.
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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Page 237 and 238: From vectors to rastrer (grids) fun
Page 239 and 240: From vectors to rastrer (grids) >>
Page 241: From vectors to rastrer (grids) [Z,
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Mapping

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