Dimas Firmanda Al Riza (DFA)
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Pengenalan MATLAB
Fungsi-fungsi dasar
Operasi Matriks
Deklarasi Variabel
Visualisasi data 2D (plot)
Simulasi
Visualisasi data 3D (surf, contour)
Contoh Model Ekosistem/Lingkungan/DAS
Integrasi model matematis dan GIS
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Perintah dan kode dasar (clc, clear, whos, ;, dsb.)
Operasi matematika dasar (+,-,/,\,*,^,.^)
Perintah rangkap (menggunakan koma)
Pembuatan/deklarasi variabel dan penggunaan
String
Variabel yang telah terdefinisi dalam MATLAB
(ans, pi, inf, nan, sign, sqrt, exp, log, perintah trigonometri,
pembulatan dan bilangan imajiner)
Operasi matematika dengan menggunakan variabel
Penjelasan format data pada MATLAB
(Skalar, Vektor, Matrik)
Matrik dan operasi matrik
Plot grafik dasar (visualisasi)
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M-Files
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Flow control (pengaturan aliran data)
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Contoh flow control dengan M-Files
menghasilkan data yang dapat di-plot
dengan 3D
Visualisasi 3D (surf, contour)
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Pemodelan Lingkungan
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Penjelasan PR3
(PR2 dengan MATLAB (Hidrograf))
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Read text data files
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Penjelasan PR3
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Dynamic Data Entry
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GUI
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Matlab Mapping Toolbox
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Read .txt
load namafile.txt;
a=namafile(:,1);
b=namafile(:,2);
c=namafile(:,3);
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Read .xls
a=xlsread('namafile.xls');
b=a(:,1);
c=a(:,2);
d=a(:,3);
…
plot2.m
readexcel.m
http://blogs.mathworks.com/pick/200
7/08/13/video-series-reading-exceldata-into-matlab-with-a-gui/
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Deklarasi Variabel
Menentukan kondisi
inisial
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Penghitungan
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Visualisasi
2D?
3D?
Labeling?
Legend?
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GUI sederhana untuk membaca dan memplot
grafik
bisakah.m
gui1.m
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The Mapping Toolbox imports and exports
generic GIS data in several formats, including
shapefile, TIFF/JPEG/PNG with work files, GeoTIFF
(read only), and ARC ASCII Grid (read only) and it
imports from various more specialized formats
(DTED, USGS DEM, SDTS DEM, etc.). See Technical
Note 2101 for information on geospatial data on
the Internet:
http://www.mathworks.com/support/technotes/2100/2101.html
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Vector data
Vector data use X and Y coordinates to define the locations of
points, lines, and areas (polygons) that correspond to map features
such as fire hydrants, trails, and parcels. As such, vector data tend
to define centers and edges of features.
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Raster data
Raster data, on the other hand, use a matrix of square areas to
define where features are located. These squares, also called pixels,
cells, and grids, typically are of uniform size, and their size
determines the detail that can be maintained in the dataset. Because
raster data represent square areas, they describe interiors rather
than boundaries as is the case with vector data.
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MATLAB Help Files
Thanks