Data sets used in this book are provided as a supplement to the exercise. This data may be freely used and redistributed and is provided "AS-IS" without warranty of any kind. No technical support is provided.
Elevations from a land survey estimated with a high accuracy (<30 cm error).
Formal class 'SpatialPointsDataFrame' [package "sp"] with 5 slots ..@ data :'data.frame': 6367 obs. of 1 variable: .. ..$ VALUE: num [1:6367] 206 208 207 204 203 ... .. ..- attr(*, "data_types")= chr "N" ..@ coords.nrs : num(0) ..@ coords : num [1:6367, 1:2] 6551880 6552027 6551949 6552134 6551846 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:6367] "0" "1" "2" "3" ... .. .. ..$ : chr [1:2] "coords.x1" "coords.x2" ..@ bbox : num [1:2, 1:2] 6551799 5070471 6555640 5074356 .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:2] "coords.x1" "coords.x2" .. .. ..$ : chr [1:2] "min" "max" ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slots .. .. ..@ projargs: chr " +proj=tmerc +lat_0=0 +lon_0=18 +k=0.9999 +x_0=6500000 +y_0=0 +ellps=bessel +units=m +towgs84=550.499,164.116,475.142,5.80967,2"| __truncated__
Geodetic State Authority of Croatia
Attachment | Size |
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elevations.zip [2] | 161.19 KB |
Barro Colorado Island 50 Hectare Plot Data set [4] (Panama) that contains about 2 million records --- complete inventory of all plant species and numerous plant and environmental attributes for six time periods. Here can be obtained 13 auxiliary grids (soil parameters, DEM parameters) that can be used to improve spatial distribution modelling of sampled species.
Center for Tropical Forest Science of the Smithsonian Tropical Research Institute
Attachment | Size |
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BCI_grids.zip [6] | 469.89 KB |
BCI_plants.7z [7] | 11.81 MB |
Rainfall measurements are inserted every six hours into the system database. Daily, for each rain gauge of the national network, 24-hours rainfall cumulative are calculated. The data set might contain errors - single isolated locations with (unlikely) high values and needs to be filtered before it can be used for spatial prediction.
min max
longitude 6.70306 18.4892
latitude 36.78560 46.9689
L'Istituto di Ricerca per la Protezione Idrogeologica
Attachment | Size |
---|---|
rain_it.rar [10] | 1.47 MB |
Soil Organic Carbon in kg C m^2 estimated using the ISRIC WISE soil profile database [12].
Formal class 'SpatialGridDataFrame' [package "sp"] with 6 slots ..@ data :'data.frame': 451220 obs. of 1 variable: .. ..$ SOC_reg: num [1:451220] NA NA NA NA NA NA NA NA NA NA ... ..@ grid :Formal class 'GridTopology' [package "sp"] with 3 slots .. .. ..@ cellcentre.offset: Named num [1:2] -2927000 -2597000 .. .. .. ..- attr(*, "names")= chr [1:2] "x" "y" .. .. ..@ cellsize : num [1:2] 10000 10000 .. .. ..@ cells.dim : int [1:2] 586 770 ..@ grid.index : int(0) ..@ coords : num [1:2, 1:2] -2927000 2923000 -2597000 5093000 .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : NULL .. .. ..$ : chr [1:2] "x" "y" ..@ bbox : num [1:2, 1:2] -2932000 -2602000 2928000 5098000 .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:2] "x" "y" .. .. ..$ : chr [1:2] "min" "max" ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slots .. .. ..@ projargs: chr " +proj=aea +lat_1=-5 +lat_2=-42 +lat_0=-32 +lon_0=-60 +x_0=0 +y_0=0 +ellps=aust_SA +units=m +no_defs"
ISRIC
Attachment | Size |
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WISE_SOC.zip [14] | 218.25 KB |
WISE_SOC.Rdata [15] | 1009.58 KB |
Additional table with Bulk density / gravel content for ISRIC WISE profile database. Prepared by Niels Batjes [17] by using taxo-transfer procedures. Bulk density / gravel content estimated at fixed depth intervals (0--20, 20--40, 40--60, 60--80, 80--100, 100--150, 150--200~cm).
'data.frame': 47111 obs. of 4 variables:
$ WISE3_ID: Factor w/ 8189 levels "AF0001","AF0002",..: 1 1 1 1 1 1 2 2 2 2 ...
$ BULKDENS: num 1.55 1.58 1.58 1.6 1.55 ...
$ GRAVEL : int 16 5 6 5 4 3 2 4 4 2 ...
$ DEPTH : num 10 30 50 70 90 125 10 30 50 70 ...
Niels Batjes (ISRIC)
Attachment | Size |
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GSPD_BDG.RData [18] | 122.52 KB |
29 grids at 5 km resolution in SAGA grid format (resampled worldmaps [19]). Prepared for species distribution modeling purposes.
'data.frame': 53667 obs. of 29 variables: $ CHLOm : num NA NA NA NA NA NA NA NA NA NA ... $ CHLOs : num NA NA NA NA NA NA NA NA NA NA ... $ dcoast : num 3.51 3.48 3.47 3.45 3.43 ... $ ecoflor : Factor w/ 7 levels "0","7","9","10",..: 7 7 6 6 6 6 6 6 6 6 ... $ FRA2000 : Factor w/ 1 level "0": 1 1 1 1 1 1 1 1 1 1 ... $ gaccessm: int 127 117 122 151 51 83 82 170 159 175 ... $ globcov : Factor w/ 17 levels "11","14","20",..: 10 9 12 13 9 9 12 5 13 9 ... $ globedem: int 726 772 744 751 824 906 957 1012 981 1102 ... $ hwsd : Factor w/ 25 levels "0","3","4","6",..: 6 6 6 12 12 12 7 12 12 7 ... $ landmask: Factor w/ 1 level "0": 1 1 1 1 1 1 1 1 1 1 ... $ LSTDm : num 11.3 11.3 11.4 11.8 11.2 ... $ LSTDs : num 415 428 450 465 467 ... $ LSTNm : num 3.6 3.06 2.45 2.52 2.1 ... $ LSTNs : num 336 344 342 341 352 ... $ PCEVI1 : num 4672 4730 4870 4966 4715 ... $ PCEVI2 : num 1113 1040 1217 1149 1313 ... $ PCEVI3 : num -155.1 -65.6 -116.3 -125.3 -122.8 ... $ PCEVI4 : num 41.4 62 146.8 179.9 180.9 ... $ pcnligh1: num 14.6 32 14.7 34.6 26.1 ... $ pcnligh2: num -5.16 -8.36 -3.44 -3.15 -3.55 ... $ PRECm : int 58 58 58 58 58 56 55 53 52 50 ... $ quakein : num 10.8 11.4 12 12.7 13.3 ... $ rcrops : int 0 0 0 39 6 5 0 0 19 0 ... $ shipping: num 0 0 0 0 0 0 0 0 0 0 ... $ slope : num 0.01381 0.00963 0.00746 0.00911 0.01452 ... $ SSTm : num NA NA NA NA NA NA NA NA NA NA ... $ SSTs : num NA NA NA NA NA NA NA NA NA NA ... $ wwfeco : Factor w/ 18 levels "0","16","33",..: 18 18 18 18 18 18 18 18 18 18 ... $ airports: Factor w/ 5 levels "0","1","2","3",..: 1 1 1 1 1 1 1 1 1 1 ...
Publicly available data sets
Attachment | Size |
---|---|
itgrids5km.zip [21] | 3.12 MB |
MOD13A3 [23] Land Surface Temperature (LST) obtained from the NASA’s FTP server.
GPL
Attachment | Size |
---|---|
LST2006HR.zip [25] | 19.7 MB |
The meuse is a classical geostatistical data set used frequently by the creator of the gstat package to demonstrate various geostatistical analysis steps. The point data set consists of 155 samples of top soil heavy metal concentrations (ppm), along with a number of soil and landscape variables. The samples were collected in a flood plain of the river Meuse, near the village Stein. This zip files contains additional gridded maps (2-40 m resolution), which are used in the exercise 'First steps'.
Wageningen University and Research / Rijkswaterstaat
Attachment | Size |
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meuse.zip [27] | 5.51 MB |
This is a subset from the US National Geochemical Survey database (NGS), which contains 74,408 samples of 53(+286) attributes sampled over the period from (1979) 2003 to 2008. We focus on the following eight heavy metals: "As", "Cd", "Cr", "Cu", "Ni", "Zn", "As2", "Hg", "Pb". Please consider obtaining the original data directly from the NGS homepage [29].
Formal class 'SpatialPointsDataFrame' [package "sp"] with 5 slots ..@ data :'data.frame': 74408 obs. of 11 variables: .. ..$ AS_ICP40: num [1:74408] 5 5 5 15 5 5 5 5 5 5 ... .. ..$ CD_ICP40: num [1:74408] 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 ... .. ..$ CR_ICP40: num [1:74408] 120 63 160 130 120 120 43 300 100 70 ... .. ..$ CU_ICP40: num [1:74408] 49 32 51 60 45 41 28 94 57 52 ... .. ..$ NI_ICP40: num [1:74408] 60 29 69 93 45 40 22 86 67 45 ... .. ..$ ZN_ICP40: num [1:74408] 110 99 75 85 88 90 98 74 92 120 ... .. ..$ AS_AA : num [1:74408] NA NA NA NA NA NA NA NA NA NA ... .. ..$ HG_AA : num [1:74408] 0.01 0.01 0.01 0.08 0.01 0.01 0.01 0.01 0.08 0.01 ... .. ..$ PB_ICP40: num [1:74408] 11 12 4 2 5 5 11 2 2 5 ... .. ..$ CATEGORY: Factor w/ 6 levels "NURE","NURE SIEVED",..: 3 3 3 3 3 3 3 3 3 3 ... .. ..$ TYPEDESC: Factor w/ 16 levels "BEACH-SED","CANAL-SED",..: 10 10 10 10 10 10 10 10 10 10 ... ..@ coords.nrs : num(0) ..@ coords : num [1:74408, 1:2] -1758399 -1757766 -1757551 -1757346 -1759941 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : NULL .. .. ..$ : chr [1:2] "coords.x1" "coords.x2" ..@ bbox : num [1:2, 1:2] -10423650 277823 2255815 6536523 .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:2] "coords.x1" "coords.x2" .. .. ..$ : chr [1:2] "min" "max" ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slots .. .. ..@ projargs: chr " +proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=23 +lon_0=-96 +x_0=0 +y_0=0 +ellps=GRS80 +datum=NAD83 +units=m +no_defs +towgs84=0,0,"| __truncated__
USGS / The National Geochemical Survey Team
Attachment | Size |
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NGS8HMC.Rdata [30] | 1.61 MB |
86971 observation records for Eastern Meadowlark [32]. Obtained from the Avian Knowledge Network (see the original query [33]). After you download the data locally, you can convert it to a point map using:
> AKN <- read.delim("AKN_Query_Results_95201085842.txt") # fix some columns: > AKN$Observation.Count <- ifelse(is.na(AKN$Observation.Count), AKN$Obs.Count.At.Least, AKN$Observation.Count) > AKN$Duration.In.Hours <- ifelse(AKN$Duration.In.Hours==0, 0.5, AKN$Duration.In.Hours) > AKN$Observation.Date <- as.Date(paste(AKN$Observation.Date)) # records in no / area / time (unfortunatelly Survey.Area.Size is missing) > AKN$Dens <- AKN$Observation.Count/AKN$Duration.In.Hours > AKN.pnt <- subset(AKN, !is.na(AKN$Longitude)&!is.na(AKN$Latitude)&is.finite(AKN$Dens), + select=c("Global.Unique.Identifier","Longitude","Latitude","Observation.Date", + "Dens","Collection.Code","Locality","Survey.Area.Identifier","Observation.Count","Duration.In.Hours")) # Convert to a point map: > AEA <- "+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=23 +lon_0=-96 +x_0=0 +y_0=0 +ellps=GRS80 + +datum=NAD83 +units=m +no_defs" > coordinates(AKN.pnt) <-~Longitude+Latitude > proj4string(AKN.pnt) <- CRS("+proj=longlat +datum=WGS84") > AKN.pntXY <- spTransform(AKN.pnt, CRS("AEA")) > save(AKN.pntXY, file="AKN_Sturnella_magna_USA.RData")
Avian Knowledge Network. 2009. Avian Knowledge Network [34]: An online database of bird distribution and abundance [web application]. Ithaca, New York.
Point map showing the distribution of a bird species through time. Description of columns available here [35].
'data.frame': 86971 obs. of 8 variables: $ Global.Unique.Identifier: Factor w/ 90152 levels "URN:catalog:....",..: 61836 61685 61811 61801 ... $ Observation.Date :Class 'Date' num [1:86971] 14535 14532 12808 14533 14352 ... $ Dens : num 1.288 0.667 2 0.941 1.25 ... $ Collection.Code : Factor w/ 20 levels "EBIRD","EBIRD_AK",..: 1 1 1 1 1 1 1 1 1 1 ... $ Locality : Factor w/ 20073 levels "","'Big' Quintana pond",..: 16768 12147 8835 8855 13639 ... $ Survey.Area.Identifier : Factor w/ 21494 levels "L100019","L102957",..: 6825 12997 19949 1722 15230 8877 ... $ Observation.Count : int 3 1 1 4 5 12 1 50 1 1 ... $ Duration.In.Hours : num 2.33 1.5 0.5 4.25 4 3 0.5 3.5 11 9.08 ...
Avian Knowledge Network
Attachment | Size |
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AKN_Sturnella_magna_USA.RData [38] | 2.55 MB |
This data set contains census data for years 1961 and 2002, and a number of gridded maps that were used to explain a Population Change Index in the region of South Pomoravlje (southeast part of the Republic of Serbia). The region includes two administrative districts: Jablanica and Pcinja, and a total of 13 municipalities. For more details see also the attached script [39].
Administrative data:
Gridded maps:
Bounding box: X 7532244-7628544; Y 4676703-4780803;
Grtid cell size: 200 m
Ministry of Science of the Republic of Serbia
Attachment | Size |
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jablpchinja.zip [41] | 9.55 MB |
A simple example from the book by Burrough and McDonnell (1998).
NA
Attachment | Size |
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RK5points.zip [44] | 79.11 KB |
The data set comprises: (1) location of climatic stations in Croatia, (2) temperature (TEMP) and precipitation (PREC) measurements for year 2008. Temperature is measured with mercury-in-glass thermometers that are situated inside of a wooden shelter, the so called ‘Stevenson’ screen, which allow the air circulation while sheltering the sensors from direct sun exposure. The precision of the temperature readings is tenth of °C. On most climatological stations temperature is measured three times a day, at 7 a.m., 1 p.m. and 9 p.m. The daily mean can be calculated as a weighted average. The rain is collected in a bottle within the rain gauge and readings are usually manual by an observer at 7 a.m. The precipitation collected in the morning refer to the precipitation for previous 24 hours.
The point data set consists of a total of:
The location of the 159 meteorological stations and 489 rainfall gauges is visible in map on the right. Precipitation of 0 mm is left blank in database, so replace it with 0 mm. If the precipitation is negative or equals 9977, you need to replace it with "NA" values. The missing values in temperature are indicated with -99.9.
Static topographic predictors (grids):
Time-series of RS based predictors:
All grids are projected in the UTM zone 32 system. Position of the climatic stations is in the local LatLon system ("+proj=longlat +ellps=bessel +towgs84=550.499,164.116,475.142,5.80967,2.07902,-11.62386,0.99999445824").
Croatian Meteorological and Hydrological Service
Attachment | Size |
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HRclim2008.zip [47] | 2.4 MB |
ESTP2008HR.zip [48] | 7.27 MB |
LST2008HR.zip [49] | 19.34 MB |
The temperature measurements automatically collected at 123 meteorological stations for year 2006 and two auxiliary grids at resolution of 1 km.
Croatian Meteorological and Hydrological Service
Attachment | Size |
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HRtemp2006.zip [51] | 666.86 KB |
This data set contains two time series of images: (a) 92 8-day composite MODIS LST images, and (b) 361 daily precipitation totals estimated using (Doppler-type) ground radar. The study are covers 408 by 408 km; the pixel size is 1 km. Meteorological measurements of temperature and precipitation at referent climatic stations (105) is available in the attached file. If not otherwise indicated, all layers are projected in the UTM33N zone. To obtain more information about the source data and its characteristics, refer to the original data distributors.
This data set was prepared for the purpose of testing various space-time interpolation techniques for climatological applications.
NCOLS 408 NROWS 408 XLLCORNER 466500 YLLCORNER 4878500 CELLSIZE 1000
Croatian Meteorological and hydrological service
Attachment | Size |
---|---|
bilogora1km.zip [57] | 5.15 MB |
LST2008Bilogora.zip [58] | 17.71 MB |
RADAR2008Bilogora.rar [59] | 17.19 MB |
RN1_2008_05_01.zip [60] | 657.57 KB |
Temperature measurements for 37 stations for case study in Austria (Oberösterreich region) and a number of auxiliary maps at 1 km resolution. For more info see: www.zamg.ac.at [61]
The convert the original MODIS LST Land Surface Temperature & Emissivity 8-Day L3 Global 1km [62] product to degree celsius, use the following formula:
LST = MODISLST * 0.02 - 273.15
uppera_LST.zip contains 131 geotifs of monthly averages (MODIS LST) for the given period.
> GDALinfo("LST2008_avg.sdat") rows 156 columns 177 bands 1 origin.x -48403 origin.y 252901 res.x 1000 res.y 1000 ysign -1 oblique.x 0 oblique.y 0 driver SAGA
Attachment | Size |
---|---|
uppera_LST.zip [65] | 6.35 MB |
grids1km.RData [66] | 7.14 MB |
uppera.zip [67] | 559.74 KB |
For the purpose of mapping heavy metal concentrations, a list of environmental predictors have been prepared using the data available from the USGS [69] and the National Atlas [70].
The dataset consists of 14 gridded maps, possibly extendable to 130 grids if one also includes the indicators. Description of each grid is available in the *.rdc file.
USGS / National Atlas
Attachment | Size |
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usgrids5km.zip [72] | 5.54 MB |
USA borders projected in the AEA coordinate system.
download.file("http://www.census.gov/geo/cob/bdy/st/st00shp/st99_d00_shp.zip", destfile=paste(getwd(), "/usa_borders.zip", sep="")) unzip(zipfile="usa_borders.zip", exdir=getwd()) unlink("usa_borders.zip") # read to R: usa_borders.ll <- readOGR("st99_d00.shp", "st99_d00") proj4string(usa_borders.ll) <- CRS("+proj=longlat +ellps=WGS84") usa_borders.ll <- as(usa_borders.ll, "SpatialLinesDataFrame") AEA <- "+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=23 +lon_0=-96 +x_0=0 +y_0=0 +ellps=GRS80 +datum=NAD83 +units=m +no_defs" USA.borders <- spTransform(usa_borders.ll, CRS(AEA)) save(usa_borders.ll, file="usa_borders.RData")
Formal class 'SpatialLinesDataFrame' [package "sp"] with 4 slots ..@ data :'data.frame': 273 obs. of 10 variables: ..@ lines :List of 273 ..@ bbox : num [1:2, 1:2] -179.1 17.9 179.8 71.4 .. ..- attr(*, "dimnames")=List of 2 ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slots
U.S. Dept of Commerce
Attachment | Size |
---|---|
usa_borders.RData [73] | 1.77 MB |
Links:
[1] http://spatial-analyst.net/book/node/417
[2] http://spatial-analyst.net/book/system/files/elevations.zip
[3] http://spatial-analyst.net/book/node/163
[4] http://www.stri.org/english/research/facilities/terrestrial/barro_colorado/
[5] http://spatial-analyst.net/book/node/391
[6] http://spatial-analyst.net/book/system/files/BCI_grids.zip
[7] http://spatial-analyst.net/book/system/files/BCI_plants.7z
[8] http://spatial-analyst.net/book/node/166
[9] http://spatial-analyst.net/book/node/454
[10] http://spatial-analyst.net/book/system/files/rain_it.rar
[11] http://spatial-analyst.net/book/node/453
[12] http://www.isric.org/isric/webdocs/Docs/ISRIC_Report_2008_02.pdf
[13] http://spatial-analyst.net/book/node/415
[14] http://spatial-analyst.net/book/system/files/WISE_SOC.zip
[15] http://spatial-analyst.net/book/system/files/WISE_SOC.Rdata
[16] http://spatial-analyst.net/book/node/48
[17] http://www.isric.org/UK/About ISRIC/Organization/Staff/Batjes.htm
[18] http://spatial-analyst.net/book/system/files/GSPD_BDG.RData
[19] http://spatial-analyst.net/worldmaps/
[20] http://spatial-analyst.net/book/node/448
[21] http://spatial-analyst.net/book/system/files/itgrids5km.zip
[22] http://spatial-analyst.net/book/node/389
[23] https://lpdaac.usgs.gov/lpdaac/products/modis_product_table
[24] http://spatial-analyst.net/book/node/427
[25] http://spatial-analyst.net/book/system/files/LST2006HR.zip
[26] http://spatial-analyst.net/book/node/390
[27] http://spatial-analyst.net/book/system/files/meuse.zip
[28] http://spatial-analyst.net/book/node/288
[29] http://tin.er.usgs.gov/geochem/
[30] http://spatial-analyst.net/book/system/files/NGS8HMC.Rdata
[31] http://spatial-analyst.net/book/node/142
[32] http://commons.wikimedia.org/wiki/Category:Sturnella_magna
[33] http://www.avianknowledge.net/akntools/download?country=United States&subnational1=&subnational2=&locationListPresented=true&locationSelection=United States|-|-|COUNTRY='United States'&dateType=Periodic&periodicMonths=01&periodicMonths=02&periodicMonths=03&periodicMonths=04&periodicMonths=05&periodicMonths=06&periodicMonths=07&periodicMonths=08&periodicMonths=09&periodicMonths=10&periodicMonths=11&periodicMonths=12&periodicStartYear=1900&periodicEndYear=2009&contStartMonth=&contEndMonth=&contStartYear=&contEndYear=&speciesSearch=Sturnella magna&speciesListPresented=true&speciesSelection=Eastern Meadowlark|Sturnella magna|51650.0&projectType=Observation&projectCodes=all&recordLimit=&columnSet=all&policyAccept=true&formRequestType=2
[34] http://www.avianknowledge.net
[35] http://www.avianknowledge.net/content/about/bmde-variable-descriptions
[36] http://spatial-analyst.net/book/node/447
[37] http://spatial-analyst.net/book/node/446
[38] http://spatial-analyst.net/book/system/files/AKN_Sturnella_magna_USA.RData
[39] http://spatial-analyst.net/book/jablpchinja.R
[40] http://spatial-analyst.net/book/node/457
[41] http://spatial-analyst.net/book/system/files/jablpchinja.zip
[42] http://spatial-analyst.net/book/node/456
[43] http://spatial-analyst.net/book/node/396
[44] http://spatial-analyst.net/book/system/files/RK5points.zip
[45] http://spatial-analyst.net/book/node/72
[46] http://spatial-analyst.net/book/node/443
[47] http://spatial-analyst.net/book/system/files/HRclim2008.zip
[48] http://spatial-analyst.net/book/system/files/ESTP2008HR.zip
[49] http://spatial-analyst.net/book/system/files/LST2008HR.zip
[50] http://spatial-analyst.net/book/node/12
[51] http://spatial-analyst.net/book/system/files/HRtemp2006.zip
[52] http://spatial-analyst.net/book/node/360
[53] http://spatial-analyst.net/book/getGSOD.R
[54] https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/land_surface_temperature_emissivity/8_day_l3_global_1km/mod11a2
[55] http://vrijeme.hr/aktpod_e.php?id=bradar&param=stat
[56] http://spatial-analyst.net/book/node/450
[57] http://spatial-analyst.net/book/system/files/bilogora1km.zip
[58] http://spatial-analyst.net/book/system/files/LST2008Bilogora.zip
[59] http://spatial-analyst.net/book/system/files/RADAR2008Bilogora.rar
[60] http://spatial-analyst.net/book/system/files/RN1_2008_05_01.zip
[61] http://www.zamg.ac.at/fix/klima/oe71-00/klima2000/klimadaten_oesterreich_1971_frame1.htm
[62] https://lpdaac.usgs.gov/lpdaac/products/modis_products_table
[63] http://spatial-analyst.net/book/node/468
[64] http://spatial-analyst.net/book/node/464
[65] http://spatial-analyst.net/book/system/files/uppera_LST.zip
[66] http://spatial-analyst.net/book/system/files/grids1km.RData
[67] http://spatial-analyst.net/book/system/files/uppera.zip
[68] http://spatial-analyst.net/book/node/470
[69] http://www.usgs.gov/pubprod/data.html
[70] http://nationalatlas.gov/
[71] http://spatial-analyst.net/book/node/8
[72] http://spatial-analyst.net/book/system/files/usgrids5km.zip
[73] http://spatial-analyst.net/book/system/files/usa_borders.RData