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Google location mapping

Fig. 1. Location map of the Ras-Draa phosphate ore deposit in the Gafsa-Metlaoui basin, Tunisia (source www.earth.google, fr). Fig. 1. Location map of the Ras-Draa phosphate ore deposit in the Gafsa-Metlaoui basin, Tunisia (source www.earth.google, fr).
Fig. 2. Photo maps showing location of monitoring wells (VW), surface water bodies (flow directions of creeks indicated by arrows) and tailings/waste rock dumps for sites 1 (A) and 2 (B). Base images from Google Earth. Fig. 2. Photo maps showing location of monitoring wells (VW), surface water bodies (flow directions of creeks indicated by arrows) and tailings/waste rock dumps for sites 1 (A) and 2 (B). Base images from Google Earth.
Fig. 1.4 The location of Ytteiby. Extracted from Google Maps (2015)... Fig. 1.4 The location of Ytteiby. Extracted from Google Maps (2015)...
Ffe. 2.5 The location of the Mountain Pass deposit (orange balloon). Modified after Google Maps (2015). The city of Los Angeles in the center on the bottom of the map... [Pg.25]

F. 2.13 The location of Thor Lake, NWT, Canada. Modified after Google maps (2015)... [Pg.36]

A total of 17 locations of demand points are also proposed as candidate of LDCs that would be selected. Fixed cost for opening the LDCs is US 500 (1US = 10,000 IDR) referred to Kusumastuti et al. (2013). The transportation costs from collection centers to any destination (either LDCs or refugee shelters) and from LDCs to the shelters per kg per km are assumed US 0.0034 and US 0.0042. The distances between locations are measured using Google map. Shortage costs (in US ) for rice, noodle, and preserved food are 6, 5, and 8, respectively, while penalty costs for unfair distribution are set a million time of shortage costs. Locations of collection centers, candidate LDCs, and demand points are shown in Fig. 4. [Pg.291]

The geographic-data viewer allows maps (shape and MrSid files) to be displayed. Records can be plotted to create distribution maps that can be exported to the clipboard or to Google Earth. A very large data-base of world locations has also been compiled and is supplied with the software. This contains the exact coordinates (latitudes-longitudes) of more than 5.5 million locations from all over the world, as well as altitudes and monthly precipitation and temperature data from more than 10,(X)0 meteorological stations worldwide. Additional features are also available but will not be described here. Basic statistics on all type of fields like frequencies, data distribution, mean, minima, maxima, standard deviation and variance are provided on request. [Pg.283]

V5 = uncertain site soil, potentially measured by NEHRP site soil classification or shearwave velocity in the top 30 m of soil (Vs30) or something else. To find Vs30, see the site data application at www.opensha.org/apps for U.S. locations or Google the USGS s Global Vs30 map server for other locations V = a particular value of V. [Pg.247]


See other pages where Google location mapping is mentioned: [Pg.6]    [Pg.333]    [Pg.37]    [Pg.385]    [Pg.388]    [Pg.133]    [Pg.73]    [Pg.498]    [Pg.716]    [Pg.110]    [Pg.256]    [Pg.933]    [Pg.231]    [Pg.242]   
See also in sourсe #XX -- [ Pg.231 , Pg.242 ]




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