boundary

问题 I use to plot maps of Belgium available on GADM (select Belgium) using R. I import and plot the outside boundary of Belgium using : belgium <-readRDS("gadm36_BEL_0_sp.rds") plot(belgium) Which gives me : I import and plot the boundaries of provinces of Belgium using : provinces <-readRDS("gadm36_BEL_2_sp.rds") plot(provinces) Which gives me : What i'm trying to have is a dataframe with boundaries of provinces that are NOT outside boundaries of Belgium : I tried using over() , intersect() ,

问题 I use to plot maps of Belgium available on GADM (select Belgium) using R. I import and plot the outside boundary of Belgium using : belgium <-readRDS("gadm36_BEL_0_sp.rds") plot(belgium) Which gives me : I import and plot the boundaries of provinces of Belgium using : provinces <-readRDS("gadm36_BEL_2_sp.rds") plot(provinces) Which gives me : What i'm trying to have is a dataframe with boundaries of provinces that are NOT outside boundaries of Belgium : I tried using over() , intersect() ,

问题 I am tryin to load some data from MYSQL into Hive table using Sqoop. I have some conditions on boundary query. My command is: sqoop import --connect jdbc:mysql://localhost:3306/retail_db --username retail_dba --password cloudera --table order_items --boundary-query "SELECT 1,10 FROM order_items WHERE $CONDITIONS" --split-by order_id --hive-import --hive-home /user/cloudera/hive --hive-table default.order_items2 --create-hive-table And when I execute my command it gives the following error:

问题 I am trying to solve a set of boundary value problems given by 4 differential equations. I am using bvp_solver in python, and I am getting errors which state 'invalid value encountered in division'. I am assuming this means I am dividing by NaN or 0 at some point, but I am unsure where. import numpy as np from scipy.integrate import solve_bvp import matplotlib.pyplot as plt %matplotlib inline alpha = 1 zeta = 1 C_k = 1 sigma = 1 Q = 30 U_0 = 0.1 gamma = 5/3 theta = 3 m = 1.5 def fun(x, y): U,

问题 I would like to adapt an initial-value-problem (IVP) to a boundary-value-problem (BVP) using scipy.integrate.solve_bvp . A similar question was asked here, but I do not follow everything explained in the answer. The example below regarding the SIR model was taken from this website. Here, the initial condition y0 is taken to be the initial value of S , I , and R at time x0[0] . This system of ODEs is given by the function SIR below, which returns [dS/dt, dI/dt, dR/dt] over the interval from x

问题 I would like to adapt an initial-value-problem (IVP) to a boundary-value-problem (BVP) using scipy.integrate.solve_bvp . A similar question was asked here, but I do not follow everything explained in the answer. The example below regarding the SIR model was taken from this website. Here, the initial condition y0 is taken to be the initial value of S , I , and R at time x0[0] . This system of ODEs is given by the function SIR below, which returns [dS/dt, dI/dt, dR/dt] over the interval from x

问题 I want to upload in using php curl other than google-api-php-client, but I really don't know how to do it, here is the documentation:Send a multipart upload request Here is my code snippet, I stuck in CURLOPT_POSTFIELDS , can anybody help me with this? public function uploadByCurl($uploadFilePath, $accessToken){ $ch = curl_init(); $mimeType = $this->getMimeType($uploadFilePath); $options = [ CURLOPT_URL => 'https://www.googleapis.com/upload/drive/v3/files?uploadType=multipart', CURLOPT_POST =

问题 I am using javascript to communicate with a third party service. As part of their authentication process they need the "multipart/form" body of the post message including an image to be encrypted in md5, this is added to a string including the date, and a few other things and then a HMAc/SHA1 run on it. So in the end they have the multipart body, the date and the authentication hash in order to authenticate and then read the image. This works fine for all mobile devices except for

问题 Problem To impose np.ndarray periodic boundary conditions as laid out below Details Wrap the indexing of a python np.ndarray around the boundaries in n -dimensions This is a periodic boundary condition forming an n -dimensional torus Wrapping only occurs in the case that the value returned is scalar (a single point). Slices will be treated as normal and will not be wrapped An example and counterexample are given below: a = np.arange(27).reshape(3,3,3) b = Periodic_Lattice(a) # A theoretical

问题 I want to add a boundary to a specified parcel of land so that it stands out in the map with a colored outline/border. In google maps, this is done using the polygon functionality if you know that path of coordinates to enter to surround the land parcel. However, I do not have the polygon path info, but I do have the both the geocode coordinates for the location and also the Assessor's Parcel Number (APN) for the parcel as well. I found this other SO post that talks a little about how to get