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First add your coordinate data to ArcMap. You can use Add XY Data or as faith_dur suggested in a comment the Make XY Event Layer tool. Be sure to specify the coordinate system as TM65 with either tool to correctly define the coordinate values of the points. Depending on how you create them you may need to save the result to a feature class or shapefile for ...


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You could use the GDALAutoCreateWarpedVRT function. This function creates a virtual raster dataset that represents the projected version of your raster. If you use this function, then you can read the properties of your image in the new coordinate system from the virtual raster's geotransform parameters.


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Thanks for all of the suggestions. Over the weekend my boss re-imported the shapefiles that were giving me trouble. QGIS assigned them custom "user:100000, *generated CRS" to match the file CRS (EPSG: 3857). It looks like the shapefiles were arbitrarily assigned to WGS84 by one of us at some point last week. So I suppose the lesson learned here is: know ...


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Your data are invalid: > bbox(worldmapLines) min max x -179.95721 190.29080 y -85.44308 83.57391 and the plot is correct, given that you provided it with wrong data. With help from Roger Bivand: a corrected version of this dataset is available in maptools, try: library(maptools) data(wrld_simpl) plot(spTransform(wrld_simpl, ...


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So, based on AndreJ's answer above, I whipped this up. cleanSpLinesForProjection <- function(w){ #We'll have to go through this one, line by line... slot(w, "lines") <- lapply(slot(worldmapLines, "lines"), function(x) { coords <- slot(x, "Lines")[[1]]@coords #get the rows with too large longitude values rIDX <- which(coords ...


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Your data exceeds the 180°E limit in eastern russia and some pacific island. If you want a good looking map in degrees, you have to cut your source data at 179.9°E/W. See my answer here (though it deals with a pacific centered view) QGIS display world country shape files centered on pacific ocean using Robinson, Miller Cylindrical or other projection


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I have read the history of this projection somewhere. Some software needs to see certain codes. You might try redefining the projection to EPSG:3785 or EPSG:900913. Same everything else I think.


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My co-worker led me to this very helpful website for getting spatial reference formats: http://spatialreference.org/ I changed my crs variable to fit the format given by the site for EPGS:2263 (I did not need to use integers as I had thought). var crs = new L.Proj.CRS('EPSG: 2263', '+proj=lcc +lat_1=41.03333333333333 +lat_2=40.66666666666666 ...


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I was able to figure it out. I had to create a custom project and add it to geoserver. At first, I was trying to find pre-defined projection thinking they were complicated to add to the system but it was much easier than what I though. I took a previously defined user projection in geoserver and just copied and pasted parts of the projection of the layer to ...


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You will not get lucky with predefined EPSG codes, because these are not defined for all local CRS in the world. gdalsrsinfo on the WKT definition returns: +proj=lcc +lat_1=0 +lat_2=0 +lat_0=46.66964837722222 +lon_0=-91.15277777777777 +x_0=228600.4575057151 +y_0=148551.4835661671 +ellps=GRS80 +units=us-ft +no_defs So you have to create a custom CRS to ...


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This issue has resolved itself. I switched to OpenLayers 3 since asking. Data and feature projection can now be passed as options to the read and write function of the GeoJSON format class.


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The products derived from MODIS are generally in Sinusoidal Projection. In the MODSI Reprojection tool, there is an option to specify its projection to Geographic, and then select the WGS-84 datum. You can also use MRT in batch mode.


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You need to post the input raster (in UTM) information too so a true before-and-after comparison can be made. Representing data using lat/lon in a raster means using a Plate Carree-like projection and treating the decimal degree values as if they're linear measures. UTM data is often 'tilted' in comparison so data is resampled. There'll be 'no data' values ...



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