Mapping

More documents

Recommendations

Info

Maps The simplest (although perhaps not the most general) definition of a map is a representation of geographic data. Map data is any variable or set of variables representing a set of geographic locations, properties of a region, or features on a planet’s surface, regardless of how large or complex the data is, or how it is formatted. Geospatial data are spatial data (data where things are within a given coordinate system) that are absolutely or relatively positioned on a planet, or georeferenced (it has a terrestrial coordinate system that can be shared by other geospatial data) Geodata is coded for computer storage and applications in two principal ways: vector and raster representations. It has been said that “raster is faster but vector is corrector
0 � 45 � N Map examples 180 � W 135 � W 90 � W 45 � W 0 � 45 � E 90 � E 135 � E 180 � E 45 � S 90 � N 90 � S Example 1 --------- % World map with coarse coastlines worldmap('World') World load coast plotm(lat, long)
Page 1: Mapping Introduction to MATLAB mapp
Page 5 and 6: 42.5 � N 40.0 � N 37.5 � N 15
Page 7 and 8: Example 3 --------- % Map of Antarc
Page 9 and 10: Example 5 --------- % Map of the ge
Page 11 and 12: Example 6 --------- % Map of terrai
Page 13 and 14: GEOSHOW Display map latitude and lo
Page 15 and 16: Example 2 --------- % Create a worl
Page 17 and 18: Example 4 --------- % Display the E
Page 19: Example 7 % Read and display the Sa
Page 22 and 23: 30 � N 45 � N 15 � W 60 � N
Page 24: Mapping Introduction to MATLAB mapp
Page 38 and 39: Plotting raster (grid) data in MATL
Page 40 and 41: From vectors to raster (grids) >> i
Page 42 and 43: From vectors to rastrer (grids) >>
Page 44: Map Projections All geospatial data
Page 54 and 55:
But what projection should I use? M
Page 56 and 57:
MAPPING GUIs AXESM GUI AXESM activa
Page 58 and 59:
MapTools Projections CLASS NAME ID
Page 60 and 61:
MAPPING DEMOS mapexkmlexport — Ex
Page 62 and 63:
Mapping Introduction to MATLAB mapp
Page 64 and 65:
efvec= [cells-per-degree, north lat
Page 66 and 67:
-90,-180 SW 90,-180 NW Building and
Page 68 and 69:
5) Map de data using mesm and displ
Page 70 and 71:
Computing Map limits from reference
Page 72 and 73:
BUILDING A GEOREFERENCE MATRIX, R R
Page 74 and 75:
Producing map images (ex. from goog
Page 76 and 77:
geoshow(AI,R)
Page 78 and 79:
Map Viewer
Page 80 and 81:
Mapping (MATLAB) georeferencing: ma
Page 82 and 83:
% It's well known that at its most
Page 84 and 85:
% Average these to determine the ce
Page 86 and 87:
imformats EXT ISA INFO READ WRITE A
Page 88 and 89:
Getting started with the M_map MATL
Page 90 and 91:
Page 92 and 93:
Page 94 and 95:
Page 96 and 97:
Finally (!), we may want to alter t
Page 98 and 99:
Specifying map projections in the M
Page 100 and 101:
case 2, m_proj('lambert','long',[-1
Page 102 and 103:
case 4, subplot(211); Slongs=[-100
Page 104 and 105:
case 6, lambert projection % Plot a
Page 106 and 107:
case 8, m_vec; M_VEC Draws fancy ar
Page 108 and 109:
51 o N 48 o N 45 o N 42 o N 54 o N
Page 110 and 111:
case 11, % example showing range ri
Page 112 and 113:
% Colouring the ocean blue clf m_pr
Page 114 and 115:
Map Projections m_proj Initializes
Page 116 and 117:
1. Azimuthal projections The defaul
Page 118 and 119:
Map Projections Stereographic Proje
Page 120 and 121:
2. Cylindrical and Pseudo-cylindric
Page 122 and 123:
Page 124 and 125:
Page 126 and 127:
60 o N 30 o N 0 o 30 o S 60 o S Map
Page 128 and 129:
Map Projections Sinusoidal, Mollwei
Page 130 and 131:
3. Conic Projections The map limits
Page 132 and 133:
30 o N 40 o N 150 o W 50 o N 60 o N
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
Page 154 and 155:
40 o N 10 o W 36 o N 5 o W 32 o N 0
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 186 and 187:
144 o W 136 o W 128 o W 30 o N Simu
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:
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:
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 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
Page 231 and 232:
78 � N 79 � N 2 � 77 E � N
Page 233 and 234:
78 � N 79 � N 2 � 77 E � N
Page 235 and 236:
78 � N 79 � N 2 � 77 E � N
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,
show all

Mapping

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?