Lista de parques estaduais de Nevada









Question book.svg

 Esta página ou secção não cita fontes confiáveis e independentes, o que compromete sua credibilidade (desde maio de 2013). Por favor, adicione referências e insira-as corretamente no texto ou no rodapé. Conteúdo sem fontes poderá ser removido.
—Encontre fontes: Google (notícias, livros e acadêmico)

Lista de parques esdtaduais de Nevada, Estados Unidos.



  • Beaver Dam State Park

  • Belmont Courthouse State Historic Park

  • Berlin-Ichthyosaur State Park

  • Big Bend State Recreation Area

  • Cathedral Gorge State Park

  • Cave Lake State Park

  • Dayton State Park

  • Echo Canyon State Park


  • Floyd Lamb State Park renomeado em 2007 para Floyd Lamb Park at Tule Springs

  • Fort Churchill State Historic Park

  • Kershaw-Ryan State Park

  • Lahontan State Recreation Area

  • Lake Tahoe-Nevada State Park

  • Mormon Station State Historic Park

  • Old Las Vegas Mormon State Historic Park

  • Rye Patch State Recreation Area

  • South Fork State Recreation Area

  • Spring Mountain Ranch State Park

  • Spring Valley State Park

  • Valley of Fire State Park

  • Walker Lake State Recreation Area

  • Ward Charcoal Ovens State Historic Park

  • Washoe Lake State Park

  • Wild Horse State Recreation Area












v • e
Listas de parques estaduais dos Estados Unidos

Alabama • Alasca • Arizona • Arkansas • Califórnia • Carolina do Norte • Carolina do Sul • Colorado • Connecticut • Dakota do Norte • Dakota do Sul • Delaware • Flórida • Geórgia • Havaí • Idaho • Illinois • Indiana • Iowa • Kansas • Kentucky • Louisiana • Maine • Maryland • Massachusetts • Michigan • Minnesota • Mississippi • Missouri • Montana • Nebraska • Nevada • Nova Hampshire • Nova Iorque • Nova Jersey • Novo México • Ohio • Oklahoma • Oregon • Pensilvânia • Rhode Island • Tennessee • Texas • Utah • Vermont • Virgínia • Virgínia Ocidental • Washington • Wisconsin • Wyoming
























v • e
Flag of Nevada.svgNevada

Capital: Carson City
Tópicos

Atrações turísticas ·
Bandeira ·
Listas ·
NHLs ·
NRHPs ·
Parques estaduais



 Nevada-StateSeal.svg
Principais
áreas urbanas

Carson City ·
Henderson ·
Las Vegas ·
North Las Vegas ·
Pahrump ·
Paradise ·
Reno ·
Sparks ·
Spring Valley ·
Sunrise Manor
Condados

Churchill ·
Clark ·
Douglas ·
Elko ·
Esmeralda ·
Eureka ·
Humboldt ·
Lander ·
Lincoln ·
Lyon ·
Mineral ·
Nye ·
Pershing ·
Storey ·
Washoe ·
White Pine


  • Portal da geografia
  • Portal dos Estados Unidos



-

Popular posts from this blog

404 Error Contact Form 7 ajax form submitting

Image
0 The contact form does not work, and affects loading after one try. The chrome console shows the error message: POST http://example.com/wp-json/contact-form-7/v1/contact-forms/50/feedback 404 (Not Found) send @ jquery.js?ver=1.12.4:4 ajax @ jquery.js?ver=1.12.4:4 wpcf7.submit @ scripts.js?ver=5.0.3:346 (anonymous) @ scripts.js?ver=5.0.3:53 dispatch @ jquery.js?ver=1.12.4:3 r.handle @ jquery.js?ver=1.12.4:3 How to solve this issue? thanks in advance javascript wordpress contact-form-7 share | improve this question edited Jul 17 '18 at 5:39 Kiran Shahi 4,745 3 16 43
Read more

How to know if a Active Directory user can login interactively

Image
1 I would like to know if and how is it possible to know if a AD user can login interactively (on a server) in a domain. I need to know if I can find it out using a LDAP search. Thanks. windows active-directory login user-permissions user-profile share | improve this question edited 1 hour ago yagmoth555 ♦ 11.6k 3 17 42 asked 1 hour ago Luigi Luigi 6 1 New contributor
Read more

TypeError: fit_transform() missing 1 required positional argument: 'X'

Image
0 I am trying to do Feature Scaling in a dataset, but I get an error and have no idea how to proceed: > Traceback (most recent call last): > > File "<ipython-input-10-71bea414b4d0>", line 22, in <module> > x_train = sc_X.fit_transform(x_train) > > TypeError: fit_transform() missing 1 required positional argument: 'X' and here is my code: import pandas as pd # Importing the dataset dataset = pd.read_csv('Data.csv') X = dataset.iloc[:, :-1].values y = dataset.iloc[:, 3].values # Taking care of missing data from sklearn.preprocessing import Imputer imputer = Imputer(missing_values="NaN", strategy="mean", axis=0) imputer = Imputer.fit(imputer,X[:,1:3]) X[:, 1:3] = Imputer.transform(imputer,X[
Read more