berkeley models
berkeley bandit (hlsat) berkeley models date added: 04. 05. 2012 13: 23 comments: 0 downloads: 336
berkeley brigidier (hlsat) berkeley models date added: 04. 05. 2012 17: 32 comments: 0 downloads: 374
berkeley astro hog (hlsat) berkeley models date added: 04. 07. 2012 13: 45 comments: 0 downloads: 722
berkeley banner executive (hlsat) berkeley models date added: 04. 05. 2012 13: 33 comments: 0 downloads: 509
berkeley beechcraft staggerwing (hlsat) berkeley models date added: 04. 05. 2012 13: 27 comments: 0 downloads: 684
berkeley buccaneer 36 (hlsat) berkeley models date added: 03. 26. 2014 13: 27 comments: 0 downloads: 287
berkeley buhl pup (hlsat) berkeley models date added: 04. 06. 2012 15: 40 comments: 0 downloads: 478
berkeley models bootstraps
a - rc
1950s vtg. wood airplane kit 54
wingspan
berkeley at - 6 texan (hlsat) berkeley models date added: 04. 08. 2012 13: 05 comments: 0 downloads: 908
berkeley b - 25 mitchell (hlsat) berkeley models date added: 04. 08. 2012 13: 05 comments: 2 downloads: 1630
berkeley boeing b - 17g (hlsat) berkeley models date added: 04. 08. 2012 13: 05 comments: 0 downloads: 1245
berkeley boeing p - 26 (hlsat) berkeley models date added: 04. 08. 2012 13: 05 comments: 0 downloads: 765
berkeley bootstraps a - rc (hlsat) berkeley models date added: 04. 07. 2012 13: 51 comments: 0 downloads: 429
berkeley brigadier rc - 38 (hlsat) berkeley models date added: 03. 26. 2014 13: 23 comments: 0 downloads: 246
berkeley aero commander l - 26 (hlsat) berkeley models date added: 04. 08. 2012 13: 05 comments: 0 downloads: 1116
berkeley beech t - 34 mentor (hlsat) berkeley models date added: 04. 08. 2012 13: 05 comments: 0 downloads: 933
berkeley ai research (bair) is the the successor to the berkeley vision and learning center (bvlc) .
berkeley american ace (plan and parts) (hlsat) berkeley models date added: 03. 26. 2014 13: 25 comments: 0 downloads: 301
berkeley bootstraps a - rc (redrawn) (pd1) berkeley models date added: 07. 23. 2012 11: 53 comments: 1 downloads: 407
berkeley aeronca sedan (plan & parts with floats) (hlsat) berkeley models date added: 04. 06. 2012 15: 12 comments: 0 downloads: 957
only one kit from berkeley still available? obviously, the sig j - 3 is chuck hollinger’s design which was a berkeley kit but the astro hog (i know, not scale) was also a berkeley kit, tho sig doesn’t say their kit is descended from the berkeley .
vintage berkeley' s
helioplane
balsa model airplane kit nos. . unbuilt
a 1912 photo of the circle and the euclid - arlington line streetcar. photo: berkeley historical society
really nice scale kit´s plan from berkeley models it is a built up fuselage and wings, having a wingspan of 31
recommended engine range from. 19 to. 33 max rec weight of 28 ounces
vintage berkeley republic p - 47 thunderbolt controliner kit # 1 - 10 - 295, 21. 5
, 1959
i sort of went ‘all in’ on an auction for a berkeley interstate cadet this week. in 30 hours, we will see if i won it or not. before this auction, i had no idea this kit existed in the berkeley line. do you know where i can find a complete listing of the 35 inch scale ff berkeley kits ?
bob: thanks so much for your berkeley blog. it really touched a nerve when i first read it. in fact, your blog launched a renewed interest in me for revisiting the 35 inch span free flight civilian aircraft line from berkeley .
naimi b. usdm: uncertainty analysis for species distribution models. cran: cran; 2015 .
i have an old berkeley kit of a b - 25 was wondering what it was worth. that was not wasn’t me .
grizzly peak model train’s collection includes a sample of the vast network of trains and streetcars that used to run along berkeley’s roads .
boeing p - 26 very nice scale controline model of the boeing p - 26 made by berkeley models in the 1950´s this model has wingspan of 21 inches and is targeted around 09 to 15 engines range this kit ...
thanks, but that wasn’t me. i remember reading that comment on the berkeley b - 26 someplace, but can’t remember where .
this is a laser cut short kit for the berkeley' s 61
bird dog. this kit was designed by bill effinger for berkeley' s in 1962. also included are a full size printed set of plans. note: this is a short ...
so far grizzly peak’s collection includes only a tiny sample of the vast network of trains and streetcars that used to run along berkeley’s roads .
3d - printed trains created by grizzly peak model trains, a new berkeley company exhibiting at maker faire on may 17 - 18. photo: gpmt
there are many kits acquired from around the world. i am familiar with most of these models and did grow up in the hobby building and around this collection. 1 - kit as detailed above. berkley models ...
guisan a, zimmermann ne. predictive habitat distriution models in ecology. ecological modelling. 2000; 135: 147–86 .
i’m just getting back into the hobby after a long absence and i’d never heard of berkeley before. i’ve been cruising through the balsa kits on ebay and mostly been checking out guillows, comet and sterling. i also found a nice selection of berkeley. you’re not kidding when you say they command a premium price .
at the art department: prophecies we are exploring how artistic approaches to the future can impact the world around us. this week we are very pleased to present professor of psychology etzel cardeña on how literature can open up different models of thinking about time. these models of time are brought to life by clips from the spectacular films of the one - and - only director and choreographer – busby berkeley .
the number of berkeley kits being listed on e - bay now are very few in number. the same applies to mccoy motors which i also collect. rl .
berkeley based software engineer darby johnston will debut his 3d - printed grizzly peak model trains at the maker faire at san mateo event center on may 17 - 18 .
the maker faire presentation will be grizzly peak’s first formal showing, although photos of the models have already received a positive response .
an original postcard from 1910 of the southern pacific station on shattuck between addison and center. it was built in 1908 and demolished in 1938. image: berkeley historical society
i have collected berkeley kits for about fifteen years. what wonderful kits they are. i bought a berkeley b - 25 on e - bay in december 2009. i paid $ 325. 00 and thought that was a reasonable price. later i paid about the same price for a b - 26 invader, also on e - bay .
both testing and training auc values had high discriminatory power for im were excellent for 255 models, good for 72 models, fair for 35 models, poor for 8, and failed for 0. for the em auc values were excellent for 511 models, good for 156 models, fair for 60 models, poor for 10, and failed for 3. when averaged across decades auc test values were excellent for 22, good for eight, and fair for seven species. for auc train values were excellent for 28, good for eight, and fair for one species. the internal and external validations suggest that the im and em models are similarly parameterized and well calibrated (s2 table). both of the transferability indices generally provide similar results and suggest that the models are highly transferable (s2 table). the rrs statistic found that many models had values close to 0 indicating strong agreement between the im and em, however there were a number of models that suffered from over - and under - prediction (s2 table). while under - prediction was more common than over - prediction, the magnitude of over - prediction was larger (s2 table). the oi statistic revealed that for many models there was high - predicted overlap between the im and em models, although there were some exceptions (s2 table). while most of the metrics suggest that the models are accurate, well fit, and transferable, there are some em that either over or under - predicted the im, as well as some em that had low overlap with the im, suggesting that these discrepancies arise either as an artifact of modeling, or that some other factor potentially related to life history characteristics affects model prediction and transferability .
the original kit was designed by paul delgatto for berkeley' s in 1955. we have recreated the classic model by laser cutting all of the original die - cut parts .
guisan a, thuiller w. predicting species distribution: offering more than simple habitat models. ecology letters. 2005; 8: 993–1009 .
mcpherson jm, jetz w. effects of species' ecology on the accuracy of distribution models. ecography. 2007; 30: 135–51 .
stockwell d, peterson at. effects of sample size on accuracy of species distribution models. ecological modelling. 2003; 148: 1–13 .
pretty scale controline kit´s plan from berkeley full fuselage and built up kit having 28
wingspan and engine range of 09 to 36 urltoken scale 1. 5 inches equal to 1. 0 foot
enms can become erratic when transferring projections in space and time [ 6, 10 ]. while this study used internal and external validations to ensure that models were well parameterized, accurate, and transferable, some models suffered from over - or under - prediction. over - prediction could emerge as an artifact of thresholding, or as a by - product of model parameterization. if a particular threshold was always more lenient (lower) than other thresholding approaches than ranges would always tend towards over - prediction, however this was not the case. if the models were over - parameterized then the expectation is that the transferred models would under - predict the range, while the converse is true for under - parameterized models. in some studies, maxent has been known to remove too many variables, resulting in over - predicted range sizes due to under - fit models [ 16 ]. here the high degree of over - prediction for some species suggests under - fitting, although the fit statistics indicate that the models are well parameterized .
bob, came accross your website today (saturday 4 - 23 - 2011) i can relate to the old berkeley’s, as i’m in my late sixty’s. 1st berkeley was the culver v. over the years, i have collected the berkeley kits of which i now have close to 50 or so. along with others (sterling, sig, comet, cleveland, etc .) you are correct that the value has gone skyhigh on these kits. i guess when the lord takes me, i will build them up stairs. take care, steve douglas, charlotte, nc
the first two train lines arrived in the city the 1870s, said phil gale, mechanical engineer and treasurer for the berkeley historical society. the berkeley branch line, which later became southern pacific (sp), ran from what is now emeryville to downtown berkeley, and was later extended to vine street. the other early line was a union pacific train that ran from 3 rd street to delaware street. shortly after, the first street railroad was built on telegraph avenue. in the following years additional lines were added elsewhere and companies began to electrify their lines around the turn of the century .
< img src =
urltoken
class =
img
alt =
vintage berkeley republic p - 47 thunderbolt controliner kit # 1 - 10 - 295, 21. 5
, 1959
>
all of these contests related to either gliders or rubber models, because mr. hurst felt that the gasoline powered model was dangerous, and he resisted it .
i had two of the carved fuselage control line models, a p - 51 and a p - 38, both christmas gifts, but never got up the courage to try flying them even though i was by then pretty good with something like a ringmaster. i built a whole series of the 1 / 2a free flight models and tried to fly most of them without really knowing what i was doing. a few years later when i was a bit more grown up and a whole lot more skilled at model building, the quality of the entire berkeley line suffered from the use of really bad balsa as a cost control measure and before anyone really noticed, they were gone. these days you won’t find the name berkeley on a hobby shop shelf anywhere, and most modelers have never heard of them. there is one balsa wood model airplane kit now on the market that can be traced back to the berkeley lines…do any of you know what it is ?
color rendered models from grizzly peak model trains: top to bottom – sacramento northern 107, sp interurban electric railway red car, key system 1001. image: gpmt
wenger sj, olden jd. assessing transferability of ecological models: an underappreciated aspect of statistical validation. methods in ecology and evolution. 2012; 3: 260–7 .
“i’ve been really interested in the local history and the amazing public transportation system that berkeley had, ” he said. “a lot of it has been replaced by more modern systems, but not necessarily better systems. ”
in the early 60s i built a lot of ff scale models. somehow in the workshop there had always been a kit, berkeley b - 17 flying fortress, which challenged my imagination. i remember carving the fuselage for nearly a year, listening to tv and movies about the plane. i read every book and magazine, and went to airshows to enjoy the sight and rumble .
one day the school principal asked me to show him my models. he asked me to bring the models over and we flew them in the school auditorium. he was quite impressed, and told me that i could fly my models there any time. all i had to do was just ask the janitor to let me in. however, that didn’t work so great because the janitor always seemed to want to hide when i came around, as he was always in a hurry to do something else .
blackburn plan cf - xxx type model rc semi scale old timer. wingspan 61in. engine glow? ?? control 3 channels. designer vern zundel. magazine flying models
syphard ad, franklin j. species traits affect the performance of species distribution models for plants in southern california. journal of vegetation science. 2010; 21: 177–89 .
heikkinen rk, marmion m, luoto m. does the interpolation accuracy of species distribution models come at the expense of transferability? ecography. 2012; 35: 276–88 .
a primary assumption of environmental niche models (enms) is that models are both accurate and transferable across geography or time; however, recent work has shown that models may be accurate but not highly transferable. while some of this is due to modeling technique, individual species ecologies may also underlie this phenomenon. life history traits certainly influence the accuracy of predictive enms, but their impact on model transferability is less understood. this study investigated how life history traits influence the predictive accuracy and transferability of enms using historically calibrated models for birds. in this study i used historical occurrence and climate data (1950 - 1990s) to build models for a sample of birds, and then projected them forward to the ‘future’ (1960 - 1990s). the models were then validated against models generated from occurrence data at that ‘future’ time. internal and external validation metrics, as well as metrics assessing transferability, and generalized linear models were used to identify life history traits that were significant predictors of accuracy and transferability. this study found that the predictive ability of enms differs with regard to life history characteristics such as range, migration, and habitat, and that the rarity versus commonness of a species affects the predicted stability and overlap and hence the transferability of projected models. projected enms with both high accuracy and transferability scores, still sometimes suffered from over - or under - predicted species ranges. life history traits certainly influenced the accuracy of predictive enms for birds, but while aspects of geographic range impact model transferability, the mechanisms underlying this are less understood .
hijmans r, graham ch. the ability of climate envelope models to predict the effect of climate change on species distributions. global change biology. 2006; 12: 1–10 .
scarce berkeley’s bootstrap “a - rc” 54” span being sold for parts only - it does not look complete to me since i cannot locate the wheels, the plans or the propeller. ships to you via usps priority mail ...
found several models of berkeleys few days ago in ceilin of house that was purchased. most were damaged. original boxes an instructions. might put in garbage because i dont want them
araújo m, pearson r, thuiller w, erhard m. validation of species–climate impact models under climate change. global change biology. 2005; 11 (9): 1504–13 .
converse to results from mcpherson and jetz [ 5 ], this study found that the models for temperate migrants tended to have lower accuracy than those for neotropical migrants or resident species. different studies have come to different conclusions regarding how well models capture the distributions of migrant versus resident birds [ 63, 72 ], suggesting that this may vary across geographies and assemblages .
although it has been suggested that collinear predictors do not affect maxent model building, but instead impact model interpretation [ 73, 74 ], the inclusion of variables that are collinear can lead to over - fit models and potentially to the elimination of biologically relevant variables [ 40 ]. these models are expected to under - predict the range [ 51 ], and indeed, this accords with findings from braunisch [ 47 ] in which complex models (retaining highly collinear predictor variables) performed better than simpler models (retaining independent variables), despite potential over - fit and under - prediction. although we did observe examples of under - prediction in this study, it was of small magnitude, suggesting that collinearity is not driving the results .
elith j, leathwick jr. species distribution models: ecological explanation and prediction across space and time. annual review of ecology evolultion systematics. 2009; 40 (1): 677–97 .
pearson rg, dawson tp. predicting the impacts of climate change on the distribution of species: are bioclimatic envelope models useful? global ecology and biogeography. 2003; 12: 361–71 .
fielding a, bell j. a review of methods for the assessment of prediction errors in conservation presence / absence models. environmental conservation. 1997; 24 (1): 38–49 .
manel s, williams hc, sormerod sj. evaluating presence - absence models in ecology: the need to account for prevalence. journal of applied ecology. 2001; 38: 921–31 .
jime′nez - valverde a. threshold - dependence as a desirable attribute for discrimination assessment: implications for the evaluation of species distribution models. biodiversity and conservation. 2014; 23: 369–85 .
hijmans rj, graham ch. the ability of climate envelope models to predict the effect of climate change on species distributions. global change biology. 2006; 12 (12): 2272–81 .
for birds, some of the life history traits that have been examined with regard to enm performance include range size, conservation status, migratory behavior, rarity, endemism, body mass (size), habitat structure, and wetland affinity (reviewed in mcpherson and jetz [ 5 ]). of these traits, range size, migratory behavior, and wetland affinity have detectable impacts on model performance for south african bird species. narrow ranged species models performed better than those for common species, non - migrant species models were better than those for migrants, models for endemics outperformed models for non - endemics, non - wetland species models outperformed wetland species models [ 5 ]. however, the characteristics that contribute to a successful interpolative model (e. g. a model built and projected within the same climatic and geographic environment), may not be the same as those that make for a successful extrapolative model (e. g. a model built using one climatic and geographic environment and then projected to a different climatic or geographic environment) [ 6 ]. therefore, transferability as it relates to life - history characteristics should ideally be evaluated explicitly .
quaker flash plan kit s - 202 type model rc sport trainer. wingspan 34in. highwing. engine glow cox pw. 020 control 1 channels. designer herb clukey. company flyline models july 1979
pöyry j, luoto m, heikkinen rk, saarinen k. species traits are associated with the quality of bioclimatic models. global ecology and biogeography. 2008; 17 (3): 403–14 .
this series invites an array of grammar types useful both as learning devices and as research tools. the freedom to break away from latin and greek grammar models, traditionally required, in particular of indo - european historical languages, is respected and even urged when appropriate. on the other hand, the valuable genetic study of language should remain a sought - after, well - developed endeavor, and should not be lost to the present and future world of learning. accordingly, the berkeley models of grammars series seeks forward - looking, theoretically sophisticated methodologies which are at the same time relatively exhaustive or complete grammars of a given language at any period of its existence .
a few months after i had moved from central california to burbank, california, the burbank club had a free flight contest. i had done quite a bit with towline models earlier, and i had
citation: wogan gou (2016) life history traits and niche instability impact accuracy and temporal transferability for historically calibrated distribution models of north american birds. plos one 11 (3): e0151024. urltoken
lobo jm, jiménez - valverde a, real r. auc: a misleading measure of the performance of predictive distribution models. global ecology and biogeography. 2008; 17 (2): 145–51 .
since there are recent studies investigating model variation with regards to geographic transferability [ 37 ] and temporal transferability [ 11 ] and both have found strong support for high transferability of maxent models, i used maxent 3. 2e [ 38, 39 ] to build models and then project them into the “future”. enms using matched decadal occurrence records and climate data were generated for each decade, then projected forward in time, such that enms generated using 1950s occurrence points and 1950s climate, were projected to 1960s, 1970s, 1980s, and 1990s climates (fig 1). interpolative models (im), are developed using occurrence data from a particular decade in conjunction with historical climate data from the same decade, and are expected to be good representations of the species’ distribution [ 14 ]. the extrapolative models (em), which are the interpolative models projected onto a ‘future’ climate are more prone to error because they are built using climate data that differs from the climate to which they are projected [ 16 ] .
interesting to hear the name of berkeley kits. in the 60’s my uncle was briefly partners in a hobby shop. when it closed he gave my dad a berkeley models “b26 invader” model kit with 87 1 / 2 inch wingspan. its huge! the kit was half built. a guy contacted wanting to “borrow” it. he let the guy take the plans with him only to find out he left a false phone number! my uncle did not know the guy either so the plans were gone. i still have the kit and someday hope to figure out the proper locations for the fuselage bulkheads. the wings are built. to date i haven’t found anyone who has ever heard of the kit let alone has a plans set .
these pages from vintage modeling magazines like american aircraft modeler, american modeler, air trails, flying aces, flying models, model airplane news, & young men captured the era. all copyrights hereby acknowledged .
randin cf, dirnbock t, dullinger s, zimmerman ne, massimiliano z, guisan a. are niche - based species distribution models transferable in space? journal of biogeography. 2006; 33: 1689–703 .
to gauge model transferability i examine the magnitude of over - or under - prediction and assess the overlap between modeled ranges. this approach assumes that the im better represents the true distribution than does the em [ 16, 68 ]. external model evaluation was performed using two auc - based transferability indices to gauge the accuracy of the extrapolative models. both ti h (ti h = auc (em) / auc (im) ), developed by heikkinen et al. [ 37 ] and ti w (ti w = (1 - (auc diff (em) )) / (1 - (auc diff (im) )) developed here, are simple ratios in which values less than one indicate that the interpolative models are providing more accurate predictions than the extrapolative models. values close to one are indicate equivalent accuracy of interpolative and extrapolative models. the second index, ti w differs from ti h by incorporating the internal evaluation into the ratio. i also use metrics to quantify mismatch between the interpolative models (im) and the extrapolative models (em). the metrics used here are from [ 69 ] and include the relative range size (rrs) and the overlap index (oi). they are intended to provide insight into the performance of the transferred extrapolative models (em) relative to the interpolative models (im). the relative range size (rrs) (if im < em rrs = em / im - 1, else rrs = - 1 (im / em - 1) is a measure of the over - or under - prediction of suitable area of the em relative to the im. a positive number means that the em over - predicts the range, a negative value means it under - predicts the range, and a value close to 0 indicates model similarity [ 16 ]. the overlap index (oi) (oi = (o / im) ) quantifies agreement between the predicted and projected species range. oi records the amount of congruence between the im and em models. it is a simple ratio that quantifies the overlap between the im and em models with respect to the im. values range from zero to one. a value close to one indicates that the em performs well in predicting the species range. a low value indicates little agreement between the models .
the performance of enms built using historical climate and occurrence data varied in their ability to predict “future” species distributions. in this study models were projected to highly similar analogous environments, under the expectation that they should transfer well [ 61 ]. the testing auc scores for the models were overall quite high, and the models were well calibrated with only a slight tendency toward over - parameterization (which is less problematic than under - parameterization [ 52 ]). although the transferability scores were generally high, the transferability of the models varied. while the glms did not find any of the life history traits to be significant predictors of transferability as measured by ti h or ti w, the oi statistic suggests that commonality versus rarity of species across their distributional ranges may play an important role in the predictive ability of extrapolated models. in this study, this was the only life history character that significantly predicted overlap. in contrast, the wilcoxon test suggests that there are statistically significant differences in transferability for narrow versus widespread species, but not for common versus rare species .
mcpherson jm, jetz w, rogers dj. the effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact? journal of applied ecology. 2004; 41: 811–23 .
i probably built half a dozen kindling wood models using lepages glue, which has to be the worst excuse for glue man ever invented, and covered them with wax paper. you know, it really is hard to get wax paper to stick to wood using lepages glue. somehow, i was able to get it done. some of my models actually flew eight or ten feet, especially if i threw them kind of hard .
bede bd - 6 plan cf - 380 type model rc scale civil. wingspan 56in. highwing. engine glow o. s max. 20 control 4 channels. designer dan reiss. magazine flying models sep. 1975
for range, widespread versus narrow species distributions but not the commonness or rarity of the species impacted the model accuracy, with narrowly distributed species having higher model accuracy than widespread species (fig 2). to determine if this finding reflects an artifact of modeling or an effect of life history trait, auc scores for models for narrowly distributed species were re - evaluated with a reduced background extent and then compared to models with the full background extent. the two sets of models were found to be statistically significantly different (auc test: t = 5. 4379, p - value = 0. 000) which suggests that these differences arose as an artifact of modeling .
there are many kits acquired from around the world. i am familiar with most of these models and did grow up in the hobby building and around this collection. die cut and print wood parts. wood content ...
allouche o, tsoar a, kadmon r. assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (tss). journal of applied ecology. 2006; 43 (6): 1223–32 .
owens hl, campbell lp, dornak l, saupe ee, barve n, soberón j, et al. constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas. ecological modelling. 2013; 263: 10–8 .
many studies examining the impact of life history traits have recovered a pattern whereby models for narrow ranging, endemic species have higher model accuracy than those for widespread species as assessed by auc scores [ 5, 10, 63, 64 ]. however, for species occupying a restricted range relative to the extent of the background area modeled, auc scores can be elevated as an artifact of modeling due to sampling prevalence and sample size [ 57 ], and pseudo - absences [ 14, 65, 66 ]. by explicitly evaluating the effect of background extent on auc scores for these species, the artifacts that arise from modeling should become evident [ 66 ]. to untangle artifacts of modeling from effects of life history traits, i generated a second set of models for narrow ranging endemics using a reduced background extent (extent restricted to states where a cbc circle recorded a presence) and then compared the auc scores from the two models sets using t - tests to assess if background extent impacted estimates of model performance. since sampling size and the number of background points were held constant, and therefore neither sampling prevalence or sample size should be affecting differences among the sets of models, a significant difference between the models (full extent versus reduced extent) suggests that pseudo - absence selection influences auc scores. if the models do not differ statistically, the higher auc scores recovered for narrow ranged species may reflect a true effect of the underlying species ecology .
smith ab, santos mj, koo ms, rowe km, rowe kc, patton jl, et al. evaluation of species distribution models by resampling of sites surveyed a century ago by joseph grinnell. ecography. 2013; 36: 1017–31 .
models for both neotropical migrants and residents had high levels of model accuracy, while models for temperate migrants had markedly reduced accuracy (fig 2). among the six major habitat categories included in these analyses, model accuracy for wetland species exhibited a large amount of variation, although the mean auc was high (fig 2). the wilcoxon test found support for significant differences in accuracy for both range components (e. g. widespread vs narrow, common vs rare) (table 4) .
wiens ja, stralberg d, jongsomjit d, howell ca, snyder ma. niches, models, and climate change: assessing the assumptions and uncertainties. proceedings of the national academy of sciences. 2009; 106 suppl 2: 19729–36. pmid: 19822750 .
we exemplify below various conceptions of time found in the work of some writers, and illustrate them with frivolous confections from busby berkeley’s films, coupling the sacred with the profane. our list of conceptions is not exhaustive (for instance, we do not cover time travel because it could be explained according to different models) and many more examples could be adduced for the ones we discuss. [ / vc _ column _ text ] [ / vc _ tta _ section ] [ vc _ tta _ section title = ”sequential time” tab _ id = ”1469474741281 - 7aacb64e - 1cbf” ] [ vc _ column _ text ]
johnston has nine finished products, most models of northern california trains, that will be on view at the maker faire. there are passenger and freight cars from southern pacific, sacramento northern, key system, and northern electric lines, and a san francisco muni street car .
garrison b, lupo t. accuracy of bird range maps based on habitat maps and habitat relationship models. in: scott j, heglund p, morrison m, editors. predicting species occurrences—issues of accuracy and scale. washington dc: island press; 2002. p. 367–75 .
if i recall correctly, he also did a pt - 19 which i believe berkeley also offered. too bad its not still available. speaking of pt - 19s, what plan or kit is the pt - 19 in your photo gallery? nice pics but they could use some captions to explain what is going on. it looks like tissue covering. very nice little model .
phillips sj, dudik m, elith j, graham ch, lehmann a, leathwick j, et al. sample selection bias and presence - only distribution models: implications for background and pseudo - absence data. ecological applications. 2009; 19 (1): 181–97. pmid: 19323182
zuur a, ieno em, walker n, saveliev a, smith gm. mixed effects models and extensions in ecology with r. gail m, krickeberg k, samet jm, tsiatis a, wong w, editors. new york: springer science + business media, llc; 2011 .
berkeley’s population more than tripled in the first ten years of the 20 th century, gale said. train construction boomed, accommodating the new residents — and then “the whole thing came crashing down in 1913, ” due to major financial and legal problems throughout the system, gale said. streetcars and some trains ran until the 1940s and 1950s, until they were gradually replaced by buses .
do any of you old timers remember a berkeley sailboat model with a 36″ preformed hull that was a yawl named the “tiki” as i recall. i wonder if these kits ever show up on ebay. if so, what sort of price might these go for. i built one of these back in the late fifties and i think the price might have been around $ 30 at that time .
muscarella r, galante pj, soley - guardia m, boria ra, kass jm, uriarte m, et al. enmeval: an r package for conducting spatially independent evaluations and estimating optimal model complexity for maxent ecological niche models. methods in ecology and evolution. 2014; 5 (11): 1198–205 .
dear richard, i recently bought on ebay a 36 inch model sailboat described as tahati by berkeley. it is a yawl rig with blue sails and a raised cabin just forward of the cockpit. the hull is plastic and the deck is wood with some mahogany. the mast is snapped and the rc great is gone, but i am trying to restore it. any info you have would be much appreciated. larry
i also built a flew several of the berkeley control liners; a sr. puddle jumper was about the first. later, a p - 6e very neat model. also my first r / c was a henry struct “bootstrap”, then a “rc sea cat”. i know i bought a scale b - 25 but never built it and i do not know where it got lost. i still have an in the box, control line stunt. 60 size “snark” .
a total of 555 models were constructed (15 models for each species). as previous analyses have demonstrated equivalent model performance with full versus subsets of environmental variables [ 16 ], and i had no a priori information by which to select variables across the modeled set of species [ 40 ], i used 19 bioclimatic variables for model building (s1 table). however, there are two schools of thought regarding variable selection when using maxent [ 41 ], one suggests including all reasonable predictor variables [ 38, 42, 43 ], the other suggests removing collinear variables [ 41 ]. in maxent, allowing more predictor variables allows more complex model fitting, and by default maxent determines which predictors to use based on the number of occurrences in the dataset [ 44 ]. maxent uses weighting for variable selection, as well as an l1 - regularization procedure that penalizes models in which predictor variables with little or no contribution are included [ 41, 45 ], thus it is generally thought to be less sensitive to model over - fitting than other methods [ 42, 43 ] (but see [ 46 ]). furthermore, if the relationship among variables is not constant over time, the inclusion of multiple collinear predictors has been found to produce better performance and fit as compared to reduced variable models [ 47 ]. however, if variables are highly collinear, ecologically relevant predictors may be excluded if a collinear variable better explains the response variable [ 40, 48 ]. from a purely statistical standpoint, reducing collinear variables reduces the potential for mis - identification of critical variables [ 40 ]. to better understand the potential impact of collinearity among the predictor variables in the maxent models, and the constancy of variable relationships across decades, i calculated variance inflation factors (vif) using the r package usdm [ 49 ] .
i had to carve the fuselage thin enough to see light through, to keep weight low. i used 4 golden bee motors which performed so well for decades. the nose art was great, took first in cl scale at the nats. hard to describe how much fun and education i derived from that one berkeley b - 17 flying fortress kit. today it would have been rc, rc in the early 60s could not always be adapted too easily for some airplanes. .
by this time the summer work was paying better, and i was able to buy a dennymite motor, which was one of the best ones built at the time. i built several different models around that dennymite motor, and i placed in quite a few contests, and won one (free flight, i believe). in retrospect, the gas models were more of a challenge, but i learned more from building rubber models because they built easily, and because i was able to try out so many different thoughts. i learned quickly that a triangle fuselage was stiffer than a rectangular one, that diagonal verticals were stiffer than straight ones. regardless of what charles hampson grant said in his center of lateral area theories, i found that if i put the wing up front on a high pylon, it stayed right side up. i learned that if you wanted a model to catch and stay in a thermal, that you had to cut down the rudder area to the bare minimum. i learned that an all weather airplane, one that you could fly in the rain, won more hardware than a fair weather ship that was a tremendous flyer .
there are berkeley kits around, if you know where to look. check out model airplane swap meets, poke around in the stacks of dusty old kits you might be fortunate enough to run into, and you could be lucky enough to spot one of the old red, black and white kit boxes. they are considered collector’s items, and the few that have survived the years in excellent condition command serious prices. i have never considered myself a collector, but i am very much interested in old time balsa wood airplane kits like the berkeley line that are no longer pristine or even complete but preserved well enough that a determined, skilled aeromodeller can actually build an airplane from them. for me, building a model airplane i remember from my youth, using all the skills i have acquired over the years to do a far better job than i could ever have dreamed of in those days, and then actually flying it using state - of - the - art micro radio control and electric power is a nostalgia trip to write home about .
i found the caption page yesterday, finally. this is the page i had trouble finding again. i remember that easy built had a couple of kits that they touted as r / c models. i suppose the pt - 19 was one of them? i did find a tigerkitten kit on ebay yesterday and its now on its way to me. i always liked the lines of that model .
johnston is expecting his initial audience to be largely made up of collectors and historians, but he hopes to eventually tear kids away from their digital distractions and reintroduce them to the classic pastime. eventually, he hopes to collaborate with current transit agencies to make models of contemporary trains. he made himself a model of a bart car, which he keeps in his pocket as a lucky charm when he takes the train to work .
later, while i was at wright field, anderson finished the tool and sampled it. they then sent me sample parts. i was able to get a machine shop in dayton to machine up the parts for the first die cast. 59. a few weeks later i was discharged from service. i took my newly made motor back to los angeles. at that time i didn’t have any models or any place to build one .
hello mr benjamin i picked up an old berkeley king size flying scale model kit it is a aeronca c - 3 it is a 1 1 / 2 scale 54 in. wing span. it is unbuilt in the box decals and huge single instruction sheet included copy write 1957 i cant say every peice is there but the box is packed with balsa strips, planks, different shaped blocks and several sheets that are covered with parts that you cut out. and the paper to cover the wings and fuseloge etc etc have no idea of value. i paid 30 bucks is this something you would like to own? ? clayton 208 - 713 - 0632 thanks .
in order to test the temporal transferability of enms, i build models using historical data from fifty years of field surveys (1950 to 1999) in combination with historical climate data and project them to the “future” (in this study “future” refers to 1960 to 1999). the projected models were validated through comparison with survey data from the time period to which they have been projected. model validation using serial temporal sampling is becoming more common (for recent examples [ 19, 25 ]), providing an independent means for assessing model accuracy [ 24 ]. since differences between modeling approaches are less impactful and insightful than other factors when evaluating transferability [ 6, 7, 11 ], rather than focusing on the transferability of different modeling techniques (see [ 11, 37 ] for recent reviews), i use a single model type with high extrapolative ability. using historical data in this manner provides a more robust framework for evaluating temporal transferability than consensus modeling approaches since consensus approaches emphasis precision rather than accuracy [ 6 ] .
the house we had lived in was repossessed. fortunately, my father had owned a vacant lot and was able to buy a milk shed for $ 15. 00. we moved the milk shed onto the vacant lot. shortly after this the economy started easing up a little bit. no matter how tight things were, though, i was able to come up with 75 cents or $ 1. 00 a month to send away for model building supplies, and i kept building models after school all of this period .
the decreased transferability found in this study could have potentially arisen due to some of the specific characteristics of the data utilized in these analyses. for some species, the range limits of the winter range extend beyond the borders of the continental united states, and these areas were not used in constructing enms. projecting to highly novel climates, can lead to decreased transferability if the entire geographic range is not sampled [ 85 ]. this arises because some combinations of climatic variables are not included during model building, which can result in models that do not capture the upper and / or lower ends of the environmental envelope [ 85 ]. this could underlie some of the instances of under - prediction found here, but does not explain over - prediction. furthermore, the climates in these analyses are analogous across all decades. there is no evidence to suggest that novel climatic combinations existed during the 50 years (as assessed by the absence of clamping and with the mess statistic). as such, models should be both highly accurate and temporally transferable within the continental united states .
here i examine the relationship between life history characteristics and model accuracy and transferability for a subset of north american birds. i use historical occurrence records in combination with historical climate data to forecast to the current climate and to validate the models. using historical data to assess model accuracy and behavior is a highly informative approach to model validation, and is the only direct method to assess temporal transferability [ 11, 15, 19, 24 ]. i quantify model accuracy, parameterization, and transferability, and then use generalized linear models to relate differences in these measures to differences in life history characteristics among species. this is done over a relatively short time period (50 years) in a region where climate is roughly analogous, thus the expectation is that transferability should be very high unless they are impacted by either artifacts of modeling or life history characteristics. this study focused on species with relatively steady ranges over the past fifty years rather than those with documented range shifts. by doing so it becomes more straightforward to disentangle artifacts of modeling from the effects of life history traits on predictive accuracy and transferability .
the commonness or rarity of the species (range) was a significant predictor for oi but not rss (table 3, fig 3). the oi was higher for rare birds indicating better agreement between the im and em models than for common birds, interestingly, glms did not find any of the life history characteristics examined here to be significant predictors of model transferability as measured by ti h or ti w metrics (table 3), although the wilcoxon test did recover significant support for differences in transferability for narrow versus widespread species (table 4).
berkeley models , inc. was an american company that manufactured model-airplane kits that pioneered such firsts as the nation 's first gas model plane kit , and which became one of the industry 's leading companies . founded in the brooklyn borough of new york city , new york , and later based in west hempstead , new york , it lasted from 1933 to 1962 . its founder , bill effinger , was elected to the academy of model aeronautics hall of fame in 1986 . 
berkeley models, inc. was an american company that manufactured model-airplane kits that pioneered such firsts as the nation's first gas model plane kit, and which became one of the industry's leading companies. founded in the brooklyn borough of new york city, new york, and later based in west hempstead, new york, it lasted from 1933 to 1962. its founder, bill effinger, was elected to the academy of model aeronautics hall of fame in 1986.
berkeley models, inc. was an american company that manufactured model-airplane kits that pioneered such firsts as the nation's first gas model plane kit, and which became one of the industry's leading companies. founded in the brooklyn borough of new york city, new york, and later based in west hempstead, new york, it lasted from 1933 to 1962. its founder, bill effinger, was elected to the academy of model aeronautics hall of fame in 1986.