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Another slope map.
Red - staircases
Green - walking and bicycle paths
Gray - alleys and freeways. Freeways are often off grade, which renders the elevation profile invalid. Alleys are often ungraded.
Black - all other roads.
Note: though the map is generally true, there are lots of artifacts.
This shows some of the street layout in Colchester town centre. 'CRGS' marks the way to the school i went to, and 'LLP' marks the office where my mother worked. The crossed line on the right is the railway into St Botolph's station (now Colchester Town). The half-crossed lines in the bottom half denote staircases up the steep hill there.
I found this in a box of old papers. It's probably from the 1990s, and it's clearly drawn by my dad. Neither of us can remember why.
*** For best results, please view on black by clicking anywhere inside the image ***
This is another image from the recent Winona, Ontario Peach Festival. Midway. What is a midway without a ferris wheel on top of the various games designed to separate you from your money on the slim chance that you may win a cheesy little prize. But is not the prize, its the bragging rights. Right? Regardless, the lights and the sounds are the draw. In case you are wondering about the game, the idea in this one is to shoot a water-gun at a target (the yellow pattern on the orange squares below the row of monkeys. Above the monkeys are the prizes ordered such that the lower ones are the most likely won and as you look upward, you see the harder to win ones. Midway fun. - JW
The base image was processed using HDR software but since only a single image was used, only the tone-mapping component came into play. Hence the base image is not strictly HDR but, instead is simply tone-mapped. Tone-mapping was chosen to bring out detail that would otherwise be less visible in the poorly lit areas as well as to handle the wide light range that these scenes present and which are difficult to represent well in a conventional image .
Taken using a hand-held Nikon D5000 fitted with a Nikkor 12-24 lense set to 12mm, ISO1000, Full auto mode (no flash), f/4.0, 1/320 sec. HDR processing/Tone-mapping used Luminance/Qtpfsgui, with settings as indicated in the file name and/or below. PP in GIMP: loaded the image and adjusted the tone curve to restore a more natural-looking tonal range as well as bring out the general details and contrast as well as saturation and contrast boost, sharpened, added fine black and white frame added bar and text on left, scaled to 1024 wide for posting.
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1DSC_4946_watermonkeygamereffiswheelTMadjbarsigx1024_pregamma_1_mantiuk_contrast_mapping_0.5_saturation_factor_1.2_detail_factor_1
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Qtpfsgui 1.9.3 tonemapping parameters:
Operator: Mantiuk
Parameters:
Contrast Mapping factor: 0.5
Saturation Factor: 1.2
Detail Factor: 1
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PreGamma: 1
The 'RED' arrow identifies the Mermaid Inn. The gray color on the roads identifies cobbles - slippery when driving. While most of the streets are one-way - what doesn't show is that most of them are barely one car wide and people often park using the street and the side walk.
The ridiculous map that Mareno drew for me. There's one street on the map, labeled "street." There's also one building on the map.
High Altitude Ballooning III: Predicted path and landing site. Not a very straight line this time, but only 22 miles away compared to 150+ for the previous launch
ds106 daily create for July 15, 2016: "Draw your path on a map. Stop being a slave to GPS trackers! Get out a real map (or even a digitized on), find yourself, and show us where you traveled today."
I'm quite wary of putting my actual travels in actual space online anywhere for safety reasons, so I did a kind of emotional map of today. Today was rough. See this blog post for explanation of the image: blogs.ubc.ca/chendricks/2016/07/15/summer-tears-hope/
A two day trip to visit Erik. Started out early Sunday morning and took only secondary roads; had it all to myself. Nice and warm, blue skies - what more do you need?
Together we explored the northern part of Langeland Monday before I went home again. Took secondary roads all the way back too and arrived home around 9 in the evening.
Edited European Space Agency image of the density of stars from data from the Gaia Mission.
Image source: www.esa.int/spaceinimages/Images/2018/08/Star_density_map
Original caption: The second data release of ESA’s Gaia mission, made in April, has marked a turning point in the study of our Galactic home, the Milky Way. With an unprecedented catalogue of 3D positions and 2D motions of more than a billion stars, plus additional information on smaller subsets of stars and other celestial sources, Gaia has provided astronomers with an astonishing resource to explore the distribution and composition of the Galaxy and to investigate its past and future evolution.
The majority of stars in the Milky Way are located in the Galactic disc, which has a flattened shape characterised by a pattern of spiral arms similar to that observed in spiral galaxies beyond our own. However, it is particularly challenging to reconstruct the distribution of stars in the disc, and especially the design of the Milky Way’s arms, because of our position within the disc itself.
This is where Gaia’s measurements can make the difference.
This image shows a 3D map obtained by focusing on one particular type of object: OB stars, the hottest, brightest and most massive stars in our Galaxy. Because these stars have relatively short lives – up to a few tens of million years – they are mostly found close to their formation sites in the Galactic disc. As such, they can be used to trace the overall distribution of young stars, star formation sites, and the Galaxy’s spiral arms.
The map, based on 400 000 of this type of star within less than 10 000 light-years from the Sun, was created by Kevin Jardine, a software developer and amateur astronomer with an interest in mapping the Milky Way using a variety of astronomical data.
It is centred on the Sun and shows the Galactic disc as if we were looking at it face-on from a vantage point outside the Galaxy.
To deal with the massive number of stars in the Gaia catalogue, Kevin made use of so-called density isosurfaces, a technique that is routinely used in many practical applications, for example to visualise the tissue of organs of bones in CT scans of the human body. In this technique, the 3D distribution of individual points is represented in terms of one or more smooth surfaces that delimit regions with a different density of points.
Here, regions of the Galactic disc are shown with different colours depending on the density of ionising stars recorded by Gaia; these are the hottest among OB stars, shining with ultraviolet radiation that knocks electrons off hydrogen atoms to give them their ionized state.
The regions with the highest density of these stars are displayed in pink/purple shades, regions with intermediate density in violet/light blue, and low-density regions in dark blue. Additional information from other astronomical surveys was also used to map concentrations of interstellar dust, shown in green, while known clouds of ionised gas are depicted as red spheres.
The appearance of ‘spokes’ is a combination of dust clouds blocking the view to stars behind them and a stretching effect of the distribution of stars along the line of sight.
An interactive version of this map is also available as part of Gaia Sky, a real-time, 3D astronomy visualisation software that was developed in the framework of the Gaia mission at the Astronomisches Rechen-Institut, University of Heidelberg, Germany.
Further details including annotated version of the map: Mapping and visualising Gaia DR2
Id 397431
This is the mind-map that outlines the presentation that Renee Alexander, Chris Noble and I gave at BlogWorld 2010