Bridging open source tools and Geoportals for interactive spatial data analytics

Figures & data

Figure 1. Urban and regional explorer architecture.

Figure 2. PyGeoExplorer architecture.

Pseudocode 1. Example of the Python script for search engine data integration.

1	Input Parameters: q = <Search key word>, l = <administrative level>, o = <output path>
2	# Step 1: initialize PyGeoExplorer and login through IP
3	p = PyGeoexplorer(browser)
4	p.login_ip()
5	# Step 2: download template for the given administrative level
6	p.download_user_data_template(l, o)
7	# Step 3: read district name list from template and search
8	L = read_district_list(o)
9	N = []
10	d = p.driver
11	for l in L:
12	url = ‘http://www.baidu.com/s?wd=“+name+” ‘+q
13	d.get(url)
14	e = d.find_element_by_class_name(“nums_text”).text
15	n = re.sub(“[^\\d\\-\\.]*”, ‘‘, e)
16	N.append(n)
17	write_xls(L, N, o)
18	# Step 4 upload data
19	p.start_geoexplorer()
20	p.upload_data(o,l, q)
21	# Step 5 wait for the user to close the browser
22	p.quit_wait_close()

Figure 3. Thematic maps of the search term “金融”(finance) in the Baidu search engine.

Figure 4. Integrated reporting using search engine data and baseline data in URE.

Figure 5. Gravity model analysis of search engine data in URE.