using climatic data in diva gis
DESCRIPTION
Using Climatic data in Diva GIS. Franck Theeten, Royal Museum for central Africa Cabin training 2013. Source data. 1. Go on the ‘ downloads ’ part of the DIVA GIS website ( http://www.diva-gis.org ) 2. Select « Free Spatial data -> Global Climat data» - PowerPoint PPT PresentationTRANSCRIPT
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Using Climatic data in Diva GIS
Franck Theeten,Royal Museum for central AfricaCabin training 2013
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Source data• 1. Go on the ‘downloads’ part of the DIVA GIS website (
http://www.diva-gis.org )• 2. Select « Free Spatial data -> Global Climat data»• 3. 3 versions of the Worldclim datasets (Museum of
vertebrate zoology, University of Berkeley) are actually available they do no cover the oceans– 3.1: a direct link to the Worldclim website (
http://www.worldclim.org)– 3.2: The current climat data (1950-2000) produced in 2004– 3.3: a predictive model produced in 2003 by B. Govindsamy, P. B.
Duffy, J. Coquard), corresponding to the CCM 3 model of the American National Center for Athmospheric Research (NCAR)
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Source data
• For this exercise, download and unzip
– 3.2: The current climat data (1950-2000) produced in 2004
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Data preparation
• The climatic model must be used in combination with distribution data
• Open a background layer with the world boundaries
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Importation of delimited text distribution data
• Open the ‘calipidae_exo_divagis_wgs84.csv’ file and import it into DivaGIS 1->Data2->Import point to Shapefile3->’From textfile (TXT)’4-> register the source file in ‘Input File’5-> Choose the appropriate delimiter (here ‘tab’)6-> Check that the X (latitude) and Y (longitude) columns correspond to the column and contain values fitting the same reference system as the project (here: decimal degrees)7-> a new shapefile will be created at the location defined in ‘Output File’ (by default, Diva GIS set it to the same folder as the original input file)
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Importation of delimited text distribution data
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Importation of delimited text distribution data
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Selection of the relevant points
• 1: The calapiddae shapefiles contain coordinates in the wrong format that appear outside of the world boundaries and disturb the processing of data (this is actually a data quality issue)
• 2: We will exclude these data by creating a shapfile taking only the points within between longitude -180 and 180 and latitude -90 and latitude 90
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Selection of the relevant points • Ensure that the layer with the distribution data is the active one• Go on « Layer -> Select Features»
• Select the world boundaries by dragging the mouse on the screen to draw a bounding box (the points should be highlighted in yellow)
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Selection of the relevant points
• Go on « Data-> Selection to new shapefile » to create a shapefile containing only the slected points (the shapefile should appear in the project)
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Importation of the climatic database
• 1: Go to the « tools » tab• 2: click on « Options »• 3: Select «the Climate » tab in the form that
appears
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Importation of the Climatic database
• In the Folder windows, give the location of the root of the directory containing the clumat files
• Define an explicit name in the windows situated left of the « Make default » button
• Click « Make Default »• Click « Apply »
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Importation of the climatic database
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Get climatic information bound to a specific location
• Enable the button• Clic on a location in the map
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Get climatic information bound to a specific location
• Enable the button• Clic on a location in the map
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Get climatic information bound to a specific location
• NB: the resolution of the grid linked to these statistics is available in « Tools->Options->Cell size»
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Applying a color scheme to the climatic data
• 1) Click on « Data -> Climate->Map»
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Applying a color scheme to the climatic data
• 2) Select the criteria you want to map in the « Output » drop down menu– 5 available
• minimum temperature• mean temperature• maximum temperature• Altitude• precipitation• ‘bioclim’ (combination of 19 variables)
• 3) Give the location of the output shapefile in « File »
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Applying a color scheme to the climatic data
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Viewing climatic data
• Select the distribution layer as active (calappidae_exo_divagis_wgs84only)
• Go on ‘Modeling’• Go on ‘BioClim/Domain’
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Viewing climatic data • Several windows are available, linked to the 19 BioCLIM variables
– BIO1 = Annual Mean Temperature– BIO2 = Mean Diurnal Range (Mean of monthly (max temp - min temp))– BIO3 = Isothermality (BIO2/BIO7) (* 100)– BIO4 = Temperature Seasonality (standard deviation *100)– BIO5 = Max Temperature of Warmest Month– BIO6 = Min Temperature of Coldest Month– BIO7 = Temperature Annual Range (BIO5-BIO6)– BIO8 = Mean Temperature of Wettest Quarter– BIO9 = Mean Temperature of Driest Quarter– BIO10 = Mean Temperature of Warmest Quarter– BIO11 = Mean Temperature of Coldest Quarter– BIO12 = Annual Precipitation– BIO13 = Precipitation of Wettest Month– BIO14 = Precipitation of Driest Month– BIO15 = Precipitation Seasonality (Coefficient of Variation)– BIO16 = Precipitation of Wettest Quarter– BIO17 = Precipitation of Driest Quarter– BIO18 = Precipitation of Warmest Quarter– BIO19 = Precipitation of Coldest Quarter
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Viewing climatic data
• Visualisation windows– Frequency (synchronized with the map)– Outliers data (global view on the 19 variables +
highligthing of outliers)– Histograms– Enveloppe (combination of 2 variables, contained
within a certain percentile, tje points within the envoeloppe are highlighted in yellow)
– Predict
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Frequency
• The map is interactive (clicking on a point highlight on the map)
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Outliers
• The horizontal axe corresponds to the 19 BioCLIM variables
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Envelope
• This calculation use 2 variables and a percentile (applied on the 2 variables and then combined) to define an envelope. Points within the envelope appear yellow on the map (remember that marine observation do not fit BioCASe)