是否将SimpleGeo Places GeoJSON文件转换为shapefile？

SimpleGeo最近免费提供了其“位置”数据集，这是很棒的，因为现在我们可以将其用于自己的目的，甚至可以离线使用。因此，我开始下载2GB的数据集，其中包含GeoJSON格式的压缩国家（地区）文件。

这是我的问题开始的地方...当我尝试将国家（地区）文件（* .geojson）直接加载到QGIS或什至使用ogr2​​ogr将其转换为shapefile时，最终都只有1点功能。

显然，这些文件中有更多数据我无法“查看”或检索，所以我在做什么错呢？有人可以向我提供任何有关如何将这些文件转换为可用的GIS功能的建议吗？

更新的问题：我真的想将geojson文件转换为shapefile（或类似的标准GIS格式），以便在桌面GIS软件中使用。

SimpleGeo博客的摘录，2011年8月1日：

“ SimpleGeo的CC0 Places数据集现在可以免费下载。如果您想获得涵盖63个国家/地区的2100万个POI，我们准备将其移交给一个文件。文件大约是2GB .zip格式，并记住，与CC0许可，该数据成为你的-自由和明确-做任何你想要的，我们希望你做的事真棒用它！ 您可以点击此处立即下载它。 “

更新： 2012年1月12日：SimpleGeo在2011年10月被Urban Airship收购后，Urban Aiship说：“在接下来的几个月内，减少[SimpleGeo]的位置，上下文和存储的当前版本的可用性。” ...正式拔出插头的目标日期为2012年3月31日。链接

尝试将功能包装在以下内容中：

{"type":"FeatureCollection","features":[ 

****ALL THE DATA HERE -- COMMA SEPARATED****

]}

并用逗号分隔每个功能。

例如，这是IE数据集中的前两个功能：

{"geometry": {"type": "Point", "coordinates": [-6.422587, 53.293363]}, "type": "Feature", "id": "SG_41u80gC4971D4Gc0Fv1p8q_53.293363_-6.422587@1308163237", "properties": {"website": "http://www.buongiorno.com", "city": "Dublin", "name": "Buongiorno", "tags": ["mobile", "vas", "community", "social-networking", "connected-devices", "android", "tablets", "smartphones"], "country": "IE", "classifiers": [{"category": "Professional", "type": "Services", "subcategory": "Computer Services"}], "href": "http://api.simplegeo.com/1.0/features/SG_41u80gC4971D4Gc0Fv1p8q_53.293363_-6.422587@1308163237.json", "address": "Lake Drive City West Digital Park", "owner": "simplegeo", "postcode": "3050"}}
{"geometry": {"type": "Point", "coordinates": [-6.250848, 53.339347]}, "type": "Feature", "id": "SG_1dnWbWIg8hX3VyfUKIDRz9_53.339347_-6.250848@1308163237", "properties": {"website": "http://www.simchronise.com", "city": "Dublin", "name": "SIMchronise", "tags": ["mobile-solutions", "mobile-data", "data-synchronisation", "mobile-security", "backup", "restore", "mobile-contacts", "web-2.0-addressbook", "phonebackup"], "country": "IE", "classifiers": [{"category": "Professional", "type": "Services", "subcategory": "Computer Services"}], "href": "http://api.simplegeo.com/1.0/features/SG_1dnWbWIg8hX3VyfUKIDRz9_53.339347_-6.250848@1308163237.json", "address": "78 Merrion Square", "owner": "simplegeo", "postcode": "Dublin2"}}

...，这里是GeoJSON FeatureCollection：

{"type":"FeatureCollection","features":[ 
{"geometry": {"type": "Point", "coordinates": [-6.422587, 53.293363]}, "type": "Feature", "id": "SG_41u80gC4971D4Gc0Fv1p8q_53.293363_-6.422587@1308163237", "properties": {"website": "http://www.buongiorno.com", "city": "Dublin", "name": "Buongiorno", "tags": ["mobile", "vas", "community", "social-networking", "connected-devices", "android", "tablets", "smartphones"], "country": "IE", "classifiers": [{"category": "Professional", "type": "Services", "subcategory": "Computer Services"}], "href": "http://api.simplegeo.com/1.0/features/SG_41u80gC4971D4Gc0Fv1p8q_53.293363_-6.422587@1308163237.json", "address": "Lake Drive City West Digital Park", "owner": "simplegeo", "postcode": "3050"}},
{"geometry": {"type": "Point", "coordinates": [-6.250848, 53.339347]}, "type": "Feature", "id": "SG_1dnWbWIg8hX3VyfUKIDRz9_53.339347_-6.250848@1308163237", "properties": {"website": "http://www.simchronise.com", "city": "Dublin", "name": "SIMchronise", "tags": ["mobile-solutions", "mobile-data", "data-synchronisation", "mobile-security", "backup", "restore", "mobile-contacts", "web-2.0-addressbook", "phonebackup"], "country": "IE", "classifiers": [{"category": "Professional", "type": "Services", "subcategory": "Computer Services"}], "href": "http://api.simplegeo.com/1.0/features/SG_1dnWbWIg8hX3VyfUKIDRz9_53.339347_-6.250848@1308163237.json", "address": "78 Merrion Square", "owner": "simplegeo", "postcode": "Dublin2"}}
]}

非常感谢@fod和@Sasa Ivetic将我带入正确的轨道！我不得不将这个项目搁置一会儿，但今天终于回到了这个项目，并希望通过我的研究结果来帮助其他可能为此感到苦恼的人。

使用他们在@fod答案中提供的信息，我编写了此Python脚本，以“正确的” geojson格式转换转储文件。这个py脚本会将数据转换为ogr2ogr可以读取的格式，然后您可以将其转换为所需的任何格式。

infile = sys.argv[1]
outfile = sys.argv[2]


## Prepare the input/output for read/write of files
fin = open(infile, 'r')
fout = open(outfile, 'w')


##Prepend the new file with approriate header info
fout.write('{"type":"FeatureCollection","features":[' + '\n')


## Read each line from the input and write to the output
for line in fin:
    ##write each line in the table, and replace carriage returns with "," + carriage return
    fout.write(line.replace("\n",",\n"))

##Append the new file with approriate footer info
fout.write(']}')

##Close the input and output files to release file locking
fin.close()
fout.close()

您可以尝试FME执行此操作。它读取GeoJSON并编写Shape，并且-更重要的是-具有一堆用于处理JSON的“变压器”（JSONExploder，JSONFlattener，JSONExtractor）。因此，我认为将内容转换成可用格式会有所帮助。

它还提供免费试用！

注意：我确实为FME的制造商Safe Software工作。