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Suppose I train a machine learning algorithm with instances and labels from a set of attribute rasters and known points (say 1600 points): label: forest fire location with lat-long attributes: rainfall, temperature, slope..... etc. with lat-long after training and testing the ML algorithm, I get a satisfactory result. Now, how am I supposed to translate the result of ML to all the cells/ lat-log points of the output raster as prediction model? One possibility is to spatially interpolate several known points and create the output raster. Is there any other way?
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11-20-2019
04:24 AM
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304
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I have successfully installed Agent Analyst. Unfortunately, I can't do the mandatory installation of the chapters of it's manual. Each time it flashes " Path cannot be found". PFA the screenshot.
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01-11-2019
01:14 AM
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380
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Solved it. We need to keep the grid/Raster in ordinary folder and not in any geodatabase. Patch Grid can't work with geodatabase.
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09-03-2017
06:18 AM
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414
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Thanks, I was keeping the Map in Geodatabase. As a result, it was preventing Patch Analyst to execute the analysis. I transferred it to an ordinary folder and it worked. Tonnes of Thanks again.
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09-03-2017
06:14 AM
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0
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884
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As I try to run a Grid/Tiff Raster in Patch Grid I encounter the following message: error encountered running spatial statistics grid. error: 0101137: "File Location" is not a raster. Any guidance please
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09-02-2017
12:10 PM
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2
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1014
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I have prepared a Polygon Shapefile describing the forest distribution. As I try to run the patch analyst, I encounter the following error: there is a copy restriction on this shape file. could not create a copy. Any idea whats going on?
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09-02-2017
12:07 PM
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4
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1707
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I am using IDW to interpolate the value of known points which coincidently have identical value. On interpolation, the map is showing only one value i.e. the value of the known point all over the map. Ideally, value per pixel should taper off with increase in distance from the known points. I have tried to interpolate with other tools like Ordinary Kriging and Empirical Bayesian Kriging. But they all are showing the same result.
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10-06-2016
09:39 AM
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Hi I am tring to execute an expression in Raster Calculator. It's rather a long piece of code: Con("LULCyear2005_2006_500m_Raster" == 1 & "soilRaster_reclass" == 1 & "slope_reclass" == 1, 0.5, Con("LULCyear2005_2006_500m_Raster" == 1 & "soilRaster_reclass" == 1 & "slope_reclass" == 2, 0.55, Con("LULCyear2005_2006_500m_Raster" == 1 & "soilRaster_reclass" == 1 & "slope_reclass" == 3, 0.6, Con("LULCyear2005_2006_500m_Raster" ==28 & "soilRaster_reclass" == 1 & "slope_reclass" == 1, 0.4, Con("LULCyear2005_2006_500m_Raster" == 28 & "soilRaster_reclass" == 1 & "slope_reclass" == 2, 0.7, Con("LULCyear2005_2006_500m_Raster" == 28 & "soilRaster_reclass" == 1 & "slope_reclass" == 3, 0.82, Con("LULCyear2005_2006_500m_Raster" == 28 & "soilRaster_reclass" == 2 & "slope_reclass" == 1, 0.3, Con("LULCyear2005_2006_500m_Raster" == 28 & "soilRaster_reclass" == 2 & "slope_reclass" == 2, 0.4, Con("LULCyear2005_2006_500m_Raster" == 28 & "soilRaster_reclass" == 2 & "slope_reclass" == 3, 0.52, Con("LULCyear2005_2006_500m_Raster" == 71, 0.33, Con("LULCyear2005_2006_500m_Raster" == 77 & "soilRaster_reclass" == 1 & "slope_reclass" == 1, 0.4, Con("LULCyear2005_2006_500m_Raster" == 78 & "soilRaster_reclass" == 1 & "slope_reclass" == 2, 0.5, Con("LULCyear2005_2006_500m_Raster" == 78 & "soilRaster_reclass" == 1 & "slope_reclass" == 3, 0.6, Con("LULCyear2005_2006_500m_Raster" == 78 & "soilRaster_reclass" == 2 & "slope_reclass" == 1, 0.1, Con("LULCyear2005_2006_500m_Raster" == 78 & "soilRaster_reclass" == 2 & "slope_reclass" == 3, 0.25, Con("LULCyear2005_2006_500m_Raster" == 78 & "soilRaster_reclass" == 2 & "slope_reclass" == 3, 0.3, Con("LULCyear2005_2006_500m_Raster" == 109, 0.41, Con("LULCyear2005_2006_500m_Raster" == 141,1)))))))))))))))))) Its for preparing a map with appropriate Runoff coefficient value based on Landuse, Slope and Soil type. Unfortunately, each time I run it I come accross this error message: Please Help
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09-09-2016
11:14 AM
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0
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5
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1640
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The Coefficients are constants for the expression. I have generated them using Monte Carlo Simulation to perform spatial sensitivity analysis to observe change in the composite map to change in the importance/weight/Value of environmental attributes. The composite map has been generated by raster overlay analysis using raster calculator using the expression discussed earlier. For instance, say there are three air pollution maps of , Carbon monoxide, Particulate matter and Nitrogen dioxide distribution over an area and say their expert opinion based importance/ weight/ value are 0.5, 0.3 and 0.2 respectively. Hence, the raster calculator expression will be: 0.5*[Carbon Monoxide layer] + 0.3*[Particulate Matter layer] + 0.2*[Nitrogen dioxide layer] = composite map Furthermore, I have generated 100 sets of perturbations of the set {0.5,0.3,0.2} say, {0.4, 0.4, 0.2} and so on, using Monte Carlo Simulation. Now I want to use these sets of perturbed values to generate 100 new composite maps using Raster calculator and some form of iterator. I am absolutely new in Python programming. so, I will really appreciate any form of scripting help.
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07-26-2016
10:40 AM
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0
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400
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I have an expression in the form of: a1*Map1 + a2*Map2 + ........+ aN*MapN which I want to insert in the Raster Calculator. There are 100 sets of the coefficients: set1 = {a1.1, a2.1, ......, aN.1}, .........., set100 = {a1.100, a2.100, ......, aN.100} which are available in the form of columns in an excel file. I want to use a model builder iterator to extract each column at a time and insert them in the raster calculator, may be in the form of: %a1%*Map1 + %a2%*Map2 + ........+ %aN%*MapN (if it is at all right !) and generate 100 rasters. Any help !
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07-25-2016
10:56 AM
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0
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2
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1722
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I am performing a composite impact map of a socioeconomic impact assessment for a development project. I have used Multicriteria decision making method (i.e AHP) to find out the weight of 15 attributes. I have used a simple raster calculator to calculate the composite impact as: I = W1*F(x1)+ W2*F(x2)+ ..........+WnF(xn) where, Wi is the weight of i-th attribute and F(xi) is the attribute map for x-ith attribute. If I want to perform SA by increasing and decreasing 10% of the attribute, which one should I manipulate, is it the attribute value or the attribute weight? Please note that, W1 + W2 + ...... + Wn = 1. Hence, if I increase/ decrease the sum total of weights will be > or < 1, which violates the above condition.
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03-11-2016
10:20 AM
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2811
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the raster images are outputs from IDW and ordinary kriging of socioeconomic attributes.
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09-21-2015
10:35 AM
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0
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0
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252
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I created a raster overlay using map algebra (Raster calculator) in ArcGIS 10.2.2, which involved 15 raster images and their relative weights. When I tried to reclassify it under spatial analyst toolbox, it didn't reclassify according to the natural breaks which I provide in the toolbox. It created more classes after the data processing. Initially I thought that, it may be due to some bug in the software, but when I tried the same with ordinary raster image, it worked fine. Any clue, whats going on here?
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09-14-2015
03:31 AM
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Hi This is the first time I will be doing GIS modelling. I am using AHP based weighing of attributes. I don't know how to go about with this type modelling. My textbook knowledge tells me that its most probably index modelling. Can anyone suggest me any site, Youtube video for the same. Thanks
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08-12-2015
09:52 AM
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1778
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Thankyou everyone. first I projected the image in the desired projection system and then I used landmarks as control points with known coordinates and updated them using georeferencing tool. it worked.
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03-26-2015
10:40 AM
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1
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